diff --git a/.github/workflows/ci.yaml b/.github/workflows/ci.yaml
index 35f72acf4..7dfc3bdc1 100644
--- a/.github/workflows/ci.yaml
+++ b/.github/workflows/ci.yaml
@@ -1,6 +1,11 @@
 on:
+  push:
+    branches:
+      - "**"
   pull_request:
   merge_group:
+  workflow_dispatch:
+  workflow_call:
 
 name: Continuous integration
 
@@ -8,12 +13,13 @@ env:
   CARGO_TERM_COLOR: always
   HOST: x86_64-unknown-linux-gnu
   FEATURES: "test docs"
-  RUSTFLAGS: "-D warnings"
+  # RUSTFLAGS: "-D warnings" # For now, we don't mind a couple warnings
 
 jobs:
   clippy:
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         rust:
           - beta
@@ -30,6 +36,7 @@ jobs:
   format:
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         rust:
           - nightly
@@ -45,12 +52,13 @@ jobs:
   tests:
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         rust:
           - stable
           - beta
           - nightly
-          - 1.57.0  # MSRV
+          - 1.63.0  # MSRV
 
     name: tests/${{ matrix.rust }}
     steps:
@@ -67,6 +75,7 @@ jobs:
     if: ${{ github.event_name == 'merge_group' }}
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         include:
           - rust: stable
@@ -90,6 +99,8 @@ jobs:
     if: ${{ github.event_name == 'merge_group' }}
     runs-on: ubuntu-latest
     name: cargo-careful
+    strategy:
+      fail-fast: false
     steps:
       - uses: actions/checkout@v4
       - uses: dtolnay/rust-toolchain@master
@@ -105,6 +116,7 @@ jobs:
     if: ${{ github.event_name == 'merge_group' }}
     runs-on: ubuntu-latest
     strategy:
+      fail-fast: false
       matrix:
         rust:
           - stable
@@ -125,6 +137,8 @@ jobs:
       - cargo-careful
       - docs
     if: always()
+    strategy:
+      fail-fast: false
     runs-on: ubuntu-latest
     steps:
       - name: Result
diff --git a/.gitignore b/.gitignore
index 1e7caa9ea..ffb44634d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,4 @@
 Cargo.lock
 target/
+
+.DS_Store
diff --git a/Cargo.toml b/Cargo.toml
index ae9e33f06..ed35fc83a 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -3,10 +3,11 @@
 name = "ndarray"
 version = "0.15.6"
 edition = "2018"
-rust-version = "1.57"
+rust-version = "1.63"
 authors = [
-  "Ulrik Sverdrup \"bluss\"",
-  "Jim Turner"
+    "Ulrik Sverdrup \"bluss\"",
+    "Jim Turner",
+    "Toby Davis \"Pencilcaseman\"",
 ]
 license = "MIT OR Apache-2.0"
 readme = "README-crates.io.md"
@@ -31,33 +32,46 @@ num-integer = { version = "0.1.39", default-features = false }
 num-traits = { version = "0.2", default-features = false }
 num-complex = { version = "0.4", default-features = false }
 
+# Use via the `opencl` crate feature!
+hasty_ = { version = "0.2", optional = true, package = "hasty", default-features = false }
+#hasty_ = { path = "../../hasty_dev/hasty", optional = true, package = "hasty", default-features = false }
+#once_cell_ = { version = "1.19", optional = true, package = "once_cell" }
+
 # Use via the `rayon` crate feature!
 rayon_ = { version = "1.0.3", optional = true, package = "rayon" }
 
-approx = { version = "0.4", optional = true , default-features = false }
-approx-0_5 = { package = "approx", version = "0.5", optional = true , default-features = false }
+approx = { version = "0.4", optional = true, default-features = false }
+approx-0_5 = { package = "approx", version = "0.5", optional = true, default-features = false }
 
 # Use via the `blas` crate feature!
 cblas-sys = { version = "0.1.4", optional = true, default-features = false }
 libc = { version = "0.2.82", optional = true }
 
-matrixmultiply = { version = "0.3.2", default-features = false, features=["cgemm"] }
+matrixmultiply = { version = "0.3.2", default-features = false, features = [
+    "cgemm",
+] }
 
-serde = { version = "1.0", optional = true, default-features = false, features = ["alloc"] }
+serde = { version = "1.0", optional = true, default-features = false, features = [
+    "alloc",
+] }
 rawpointer = { version = "0.2" }
 
 [dev-dependencies]
 defmac = "0.2"
 quickcheck = { version = "1.0", default-features = false }
 approx = "0.4"
-itertools = { version = "0.10.0", default-features = false, features = ["use_std"] }
+itertools = { version = "0.12", default-features = false, features = ["use_std"] }
 
 [features]
 default = ["std"]
 
+# Enable OpenCL backend
+opencl = ["hasty_/opencl"]
+cuda = ["hasty_/cuda"]
+
 # Enable blas usage
 # See README for more instructions
-blas = ["cblas-sys", "libc"]
+blas = ["cblas-sys", "libc", "hasty_/blas"]
 
 # Old name for the serde feature
 serde-1 = ["serde"]
@@ -75,8 +89,10 @@ matrixmultiply-threading = ["matrixmultiply/threading"]
 
 [profile.bench]
 debug = true
+
 [profile.dev.package.numeric-tests]
 opt-level = 2
+
 [profile.test.package.numeric-tests]
 opt-level = 2
 
diff --git a/README-crates.io.md b/README-crates.io.md
index 3c6b09054..79e6cd521 100644
--- a/README-crates.io.md
+++ b/README-crates.io.md
@@ -1,4 +1,3 @@
-
 `ndarray` implements an *n*-dimensional container for general elements and for
 numerics.
 
diff --git a/README-quick-start.md b/README-quick-start.md
index ad13acc72..693386169 100644
--- a/README-quick-start.md
+++ b/README-quick-start.md
@@ -1,13 +1,15 @@
 # Quickstart tutorial
 
-If you are familiar with Python Numpy, do check out this [For Numpy User Doc](https://docs.rs/ndarray/0.13.0/ndarray/doc/ndarray_for_numpy_users/index.html)
-after you go through this tutorial. 
+If you are familiar with Python Numpy, do check out
+this [For Numpy User Doc](https://docs.rs/ndarray/0.13.0/ndarray/doc/ndarray_for_numpy_users/index.html)
+after you go through this tutorial.
 
 You can use [play.integer32.com](https://play.integer32.com/) to immediately try out the examples.
 
 ## The Basics
 
-You can create your first 2x3 floating-point ndarray as such: 
+You can create your first 2x3 floating-point ndarray as such:
+
 ```rust
 use ndarray::prelude::*;
 
@@ -24,7 +26,9 @@ fn main() {
     println!("{:?}", a);
 }
 ```
+
 This code will create a simple array, then print it to stdout as such:
+
 ```
 [[1.0, 2.0, 3.0],
  [4.0, 5.0, 6.0]], shape=[2, 3], strides=[3, 1], layout=C (0x1), const ndim=2
@@ -34,7 +38,9 @@ This code will create a simple array, then print it to stdout as such:
 
 ### Element type and dimensionality
 
-Now let's create more arrays. A common operation on matrices is to create a matrix full of 0's of certain dimensions. Let's try to do that with dimensions (3, 2, 4) using the `Array::zeros` function:
+Now let's create more arrays. A common operation on matrices is to create a matrix full of 0's of certain dimensions.
+Let's try to do that with dimensions (3, 2, 4) using the `Array::zeros` function:
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::Array;
@@ -43,13 +49,17 @@ fn main() {
     println!("{:?}", a);
 }
 ```
+
 Unfortunately, this code does not compile.
+
 ```
 |    let a = Array::zeros((3, 2, 4).f());
 |        -   ^^^^^^^^^^^^ cannot infer type for type parameter `A`
 ```
-Indeed, note that the compiler needs to infer the element type and dimensionality from context only. In this 
-case the compiler does not have enough information. To fix the code, we can explicitly give the element type through turbofish syntax, and let it infer the dimensionality type:
+
+Indeed, note that the compiler needs to infer the element type and dimensionality from context only. In this
+case the compiler does not have enough information. To fix the code, we can explicitly give the element type through
+turbofish syntax, and let it infer the dimensionality type:
 
 ```rust
 use ndarray::prelude::*;
@@ -59,7 +69,9 @@ fn main() {
   println!("{:?}", a);
 }
 ```
+
 This code now compiles to what we wanted:
+
 ```
 [[[0.0, 0.0, 0.0, 0.0],
   [0.0, 0.0, 0.0, 0.0]],
@@ -71,11 +83,15 @@ This code now compiles to what we wanted:
   [0.0, 0.0, 0.0, 0.0]]], shape=[3, 2, 4], strides=[1, 3, 6], layout=F (0x2), const ndim=3
 ```
 
-We could also specify its dimensionality explicitly `Array::<f64, Ix3>::zeros(...)`, with`Ix3` standing for 3D array type. Phew! We achieved type safety. If you tried changing the code above to `Array::<f64, Ix3>::zeros((3, 2, 4, 5).f());`, which is not of dimension 3 anymore, Rust's type system would gracefully prevent you from compiling the code.
+We could also specify its dimensionality explicitly `Array::<f64, Ix3>::zeros(...)`, with`Ix3` standing for 3D array
+type. Phew! We achieved type safety. If you tried changing the code above
+to `Array::<f64, Ix3>::zeros((3, 2, 4, 5).f());`, which is not of dimension 3 anymore, Rust's type system would
+gracefully prevent you from compiling the code.
 
 ### Creating arrays with different initial values and/or different types
 
-The [`from_elem`](http://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html#method.from_elem) method allows initializing an array of given dimension to a specific value of any type:
+The [`from_elem`](http://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html#method.from_elem) method allows
+initializing an array of given dimension to a specific value of any type:
 
 ```rust
 use ndarray::{Array, Ix3};
@@ -86,7 +102,9 @@ fn main() {
 ```
 
 ### Some common array initializing helper functions
+
 `linspace` - Create a 1-D array with 11 elements with values 0., …, 5.
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::{Array, Ix3};
@@ -95,16 +113,21 @@ fn main() {
   println!("{:?}", a);
 }
 ```
+
 The output is:
+
 ```
 [0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0], shape=[11], strides=[1], layout=C | F (0x3), const ndim=1
 ```
 
-Common array initializing methods include [`range`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.range), [`logspace`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.logspace), [`eye`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.eye), [`ones`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.ones)...
+Common array initializing methods
+include [`range`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.range), [`logspace`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.logspace), [`eye`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.eye), [`ones`](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#method.ones)...
 
 ## Basic operations
 
-Basic operations on arrays are all element-wise; you need to use specific methods for operations such as matrix multiplication (see later section).
+Basic operations on arrays are all element-wise; you need to use specific methods for operations such as matrix
+multiplication (see later section).
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::Array;
@@ -123,20 +146,20 @@ fn main() {
 }
 ```
 
-
 Note that (for any binary operator `@`):
+
 * `&A @ &A` produces a new `Array`
 * `B @ A` consumes `B`, updates it with the result, and returns it
 * `B @ &A` consumes `B`, updates it with the result, and returns it
 * `C @= &A` performs an arithmetic operation in place
 
-Try removing all the `&` sign in front of `a` and `b` in the last example: it will not compile anymore because of those rules.
+Try removing all the `&` sign in front of `a` and `b` in the last example: it will not compile anymore because of those
+rules.
 
 For more info checkout https://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html#arithmetic-operations
 
-
-
-Some operations have `_axis` appended to the function name: they generally take in a parameter of type `Axis` as one of their inputs,
+Some operations have `_axis` appended to the function name: they generally take in a parameter of type `Axis` as one of
+their inputs,
 such as `sum_axis`:
 
 ```rust
@@ -176,7 +199,9 @@ fn main() {
     println!("{}", a.t().dot(&b.t()));    // [4, 1] x [1, 4] -> [4, 4]
 }
 ```
+
 The output is:
+
 ```
 a shape [1, 4]
 b shape [4]
@@ -189,6 +214,7 @@ b shape after reshape [4, 1]
 ```
 
 ## Indexing, Slicing and Iterating
+
 One-dimensional arrays can be indexed, sliced and iterated over, much like `numpy` arrays
 
 ```rust
@@ -215,7 +241,9 @@ fn main() {
     }
 }
 ```
+
 The output is:
+
 ```
 [0, 1, 8, 27, 64, 125, 216, 343, 512, 729]
 8
@@ -225,9 +253,11 @@ The output is:
 9.999999999999998, 1, 9.999999999999998, 3, 9.999999999999998, 4.999999999999999, 5.999999999999999, 6.999999999999999, 7.999999999999999, 8.999999999999998,
 ```
 
-For more info about iteration see [Loops, Producers, and Iterators](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#loops-producers-and-iterators)
+For more info about iteration
+see [Loops, Producers, and Iterators](https://docs.rs/ndarray/0.13.0/ndarray/struct.ArrayBase.html#loops-producers-and-iterators)
+
+Let's try a iterating over a 3D array with elements of type `isize`. This is how you index it:
 
-Let's try a iterating over a 3D array with elements of type `isize`. This is how you index it: 
 ```rust
 use ndarray::prelude::*;
 
@@ -261,7 +291,9 @@ fn main() {
     }
 }
 ```
+
 The output is:
+
 ```
 a -> 
 [[[0, 1, 2],
@@ -295,6 +327,7 @@ row: [[100, 101, 102],
 ## Shape Manipulation
 
 ### Changing the shape of an array
+
 The shape of an array can be changed with the `into_shape_with_order` or `to_shape` method.
 
 ````rust
@@ -323,7 +356,9 @@ fn main() {
     println!("c = \n{:?}", c);
 }
 ````
+
 The output is:
+
 ```
 a = 
 [[3.0, 7.0, 3.0, 4.0],
@@ -370,7 +405,9 @@ fn main() {
     println!("concatenate, axis 1:\n{:?}\n", concatenate![Axis(1), a, b]);
 }
 ```
+
 The output is:
+
 ```
 stack, axis 0:
 [[[3.0, 7.0, 8.0],
@@ -409,6 +446,7 @@ concatenate, axis 1:
 ### Splitting one array into several smaller ones
 
 More to see here [ArrayView::split_at](https://docs.rs/ndarray/latest/ndarray/type.ArrayView.html#method.split_at)
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::Axis;
@@ -431,7 +469,9 @@ fn main() {
     println!("s2  = \n{}\n", s2);
 }
 ```
+
 The output is:
+
 ```
 Split a from Axis(0), at index 1:
 s1  = 
@@ -450,9 +490,12 @@ s2  =
 ```
 
 ## Copies and Views
+
 ### View, Ref or Shallow Copy
 
-Rust has ownership, so we cannot simply update an element of an array while we have a shared view of it. This brings guarantees & helps having more robust code.
+Rust has ownership, so we cannot simply update an element of an array while we have a shared view of it. This brings
+guarantees & helps having more robust code.
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::{Array, Axis};
@@ -482,7 +525,9 @@ fn main() {
     println!("s2  = \n{}\n", s2);
 }
 ```
+
 The output is:
+
 ```
 a = 
 [[0, 1, 2, 3],
@@ -511,8 +556,10 @@ s2  =
 ```
 
 ### Deep Copy
+
 As the usual way in Rust, a `clone()` call will
 make a copy of your array:
+
 ```rust
 use ndarray::prelude::*;
 use ndarray::Array;
@@ -534,6 +581,7 @@ fn main() {
 ```
 
 The output is:
+
 ```
 a = 
 [[0, 1],
@@ -553,13 +601,16 @@ b clone of a =
  [2, 3]]
 ```
 
-Notice that using `clone()` (or cloning) an `Array` type also copies the array's elements. It creates an independently owned array of the same type.
+Notice that using `clone()` (or cloning) an `Array` type also copies the array's elements. It creates an independently
+owned array of the same type.
 
-Cloning an `ArrayView` does not clone or copy the underlying elements - it only clones the view reference (as it happens in Rust when cloning a `&` reference).
+Cloning an `ArrayView` does not clone or copy the underlying elements - it only clones the view reference (as it happens
+in Rust when cloning a `&` reference).
 
 ## Broadcasting
 
-Arrays support limited broadcasting, where arithmetic operations with array operands of different sizes can be carried out by repeating the elements of the smaller dimension array. 
+Arrays support limited broadcasting, where arithmetic operations with array operands of different sizes can be carried
+out by repeating the elements of the smaller dimension array.
 
 ```rust
 use ndarray::prelude::*;
@@ -585,9 +636,11 @@ fn main() {
 }
 ```
 
-See [.broadcast()](https://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html#method.broadcast) for a more detailed description.
+See [.broadcast()](https://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html#method.broadcast) for a more detailed
+description.
 
 And here is a short example of it:
+
 ```rust
 use ndarray::prelude::*;
 
@@ -602,7 +655,9 @@ fn main() {
     println!("a is broadcased to 3x2x2 = \n{}", b);
 }
 ```
+
 The output is:
+
 ```
 shape of a is [2, 2]
 a is broadcased to 3x2x2 = 
@@ -617,6 +672,8 @@ a is broadcased to 3x2x2 =
 ```
 
 ## Want to learn more?
+
 Please checkout these docs for more information
+
 * [`ArrayBase` doc page](https://docs.rs/ndarray/latest/ndarray/struct.ArrayBase.html)
 * [`ndarray` for `numpy` user doc page](https://docs.rs/ndarray/latest/ndarray/doc/ndarray_for_numpy_users/index.html)
diff --git a/RELEASES.md b/RELEASES.md
index 364166718..07de2436f 100644
--- a/RELEASES.md
+++ b/RELEASES.md
@@ -26,7 +26,6 @@ Other changes
 
   https://github.com/rust-ndarray/ndarray/pull/1191
 
-
 Version 0.15.5 (2022-07-30)
 ===========================
 
@@ -45,7 +44,6 @@ Other changes
   https://github.com/rust-ndarray/ndarray/pull/1134 <br>
   https://github.com/rust-ndarray/ndarray/pull/1164
 
-
 Version 0.15.4 (2021-11-23)
 ===========================
 
@@ -164,7 +162,6 @@ Other changes
 
   https://github.com/rust-ndarray/ndarray/pull/1114
 
-
 Version 0.15.3 (2021-06-05)
 ===========================
 
@@ -215,7 +212,6 @@ Other changes
 
   https://github.com/rust-ndarray/ndarray/pull/1009
 
-
 Version 0.15.2 (2021-05-17 🇳🇴)
 ================================
 
@@ -225,8 +221,8 @@ New features
 - New methods for growing/appending to owned `Array`s. These methods allow
   building an array efficiently chunk by chunk. By [@bluss].
 
-  - `.push_row()`, `.push_column()`
-  - `.push(axis, array)`, `.append(axis, array)`
+    - `.push_row()`, `.push_column()`
+    - `.push(axis, array)`, `.append(axis, array)`
 
   `stack`, `concatenate` and `.select()` now support all `Clone`-able elements
   as a result.
@@ -306,7 +302,6 @@ Other changes
 
   https://github.com/rust-ndarray/ndarray/pull/1004
 
-
 Version 0.15.1 (2021-03-29)
 ===========================
 
@@ -334,7 +329,6 @@ Other changes
   https://github.com/rust-ndarray/ndarray/pull/955 <br>
   https://github.com/rust-ndarray/ndarray/pull/959
 
-
 Version 0.15.0 (2021-03-25)
 ===========================
 
@@ -436,22 +430,22 @@ API changes
 
 - Changes to the slicing-related types and macro by [@jturner314] and [@bluss]:
 
-  - Remove the `Dimension::SliceArg` associated type, and add a new `SliceArg`
-    trait for this purpose.
-  - Change the return type of the `s![]` macro to an owned `SliceInfo` rather
-    than a reference.
-  - Replace the `SliceOrIndex` enum with `SliceInfoElem`, which has an
-    additional `NewAxis` variant and does not have a `step_by` method.
-  - Change the type parameters of `SliceInfo` in order to support the `NewAxis`
-    functionality and remove some tricky `unsafe` code.
-  - Mark the `SliceInfo::new` method as `unsafe`. The new implementations of
-    `TryFrom` can be used as a safe alternative.
-  - Remove the `AsRef<SliceInfo<[SliceOrIndex], D>> for SliceInfo<T, D>`
-    implementation. Add the similar `From<&'a SliceInfo<T, Din, Dout>> for
-    SliceInfo<&'a [SliceInfoElem], Din, Dout>` conversion as an alternative.
-  - Change the *expr* `;` *step* case in the `s![]` macro to error at compile
-    time if an unsupported type for *expr* is used, instead of panicking at
-    runtime.
+    - Remove the `Dimension::SliceArg` associated type, and add a new `SliceArg`
+      trait for this purpose.
+    - Change the return type of the `s![]` macro to an owned `SliceInfo` rather
+      than a reference.
+    - Replace the `SliceOrIndex` enum with `SliceInfoElem`, which has an
+      additional `NewAxis` variant and does not have a `step_by` method.
+    - Change the type parameters of `SliceInfo` in order to support the `NewAxis`
+      functionality and remove some tricky `unsafe` code.
+    - Mark the `SliceInfo::new` method as `unsafe`. The new implementations of
+      `TryFrom` can be used as a safe alternative.
+    - Remove the `AsRef<SliceInfo<[SliceOrIndex], D>> for SliceInfo<T, D>`
+      implementation. Add the similar `From<&'a SliceInfo<T, Din, Dout>> for
+      SliceInfo<&'a [SliceInfoElem], Din, Dout>` conversion as an alternative.
+    - Change the *expr* `;` *step* case in the `s![]` macro to error at compile
+      time if an unsupported type for *expr* is used, instead of panicking at
+      runtime.
 
   https://github.com/rust-ndarray/ndarray/pull/570 <br>
   https://github.com/rust-ndarray/ndarray/pull/940 <br>
@@ -460,10 +454,10 @@ API changes
 
 - Removed already deprecated methods by [@bluss]:
 
-  - Remove deprecated `.all_close()` - use approx feature and methods like  `.abs_diff_eq` instead
-  - Mark `.scalar_sum()` as deprecated - use `.sum()` instead
-  - Remove deprecated `DataClone` - use `Data + RawDataClone` instead
-  - Remove deprecated `ArrayView::into_slice` - use `to_slice()` instead.
+    - Remove deprecated `.all_close()` - use approx feature and methods like  `.abs_diff_eq` instead
+    - Mark `.scalar_sum()` as deprecated - use `.sum()` instead
+    - Remove deprecated `DataClone` - use `Data + RawDataClone` instead
+    - Remove deprecated `ArrayView::into_slice` - use `to_slice()` instead.
 
   https://github.com/rust-ndarray/ndarray/pull/874
 
@@ -474,10 +468,10 @@ API changes
 
 - Renamed `Zip` methods by [@bluss] and [@SparrowLii]:
 
-  - `apply` -> `for_each` 
-  - `apply_collect` -> `map_collect`
-  - `apply_collect_into` -> `map_collect_into`
-  - (`par_` prefixed methods renamed accordingly)
+    - `apply` -> `for_each`
+    - `apply_collect` -> `map_collect`
+    - `apply_collect_into` -> `map_collect_into`
+    - (`par_` prefixed methods renamed accordingly)
 
   https://github.com/rust-ndarray/ndarray/pull/894 <br>
   https://github.com/rust-ndarray/ndarray/pull/904 <br>
@@ -492,10 +486,10 @@ API changes
 
 - Renamed methods (old names are now deprecated) by [@bluss] and [@jturner314]
 
-  - `genrows/_mut` -> `rows/_mut`
-  - `gencolumns/_mut` -> `columns/_mut`
-  - `stack_new_axis` -> `stack` (the new name already existed)
-  - `visit` -> `for_each`
+    - `genrows/_mut` -> `rows/_mut`
+    - `gencolumns/_mut` -> `columns/_mut`
+    - `stack_new_axis` -> `stack` (the new name already existed)
+    - `visit` -> `for_each`
 
   https://github.com/rust-ndarray/ndarray/pull/872 <br>
   https://github.com/rust-ndarray/ndarray/pull/937 <br>
@@ -506,7 +500,7 @@ API changes
 
   https://github.com/rust-ndarray/ndarray/pull/888 <br>
   https://github.com/rust-ndarray/ndarray/pull/938 <br>
- 
+
 - Updated `num-complex` dependency to 0.4.0 by [@bluss]
 
   https://github.com/rust-ndarray/ndarray/pull/952
@@ -574,7 +568,6 @@ Other changes
 
   https://github.com/rust-ndarray/ndarray/pull/887
 
-
 Version 0.14.0 (2020-11-28)
 ===========================
 
@@ -606,7 +599,7 @@ API changes
 - The **old function** `stack` has been renamed to `concatenate`.
   A new function `stack` with numpy-like semantics have taken its place.
   Old usages of `stack` should change to use `concatenate`.
-  
+
   `concatenate` produces an array with the same number of axes as the inputs.  
   `stack` produces an array that has one more axis than the inputs.
 
@@ -620,24 +613,23 @@ API changes
 
 - Remove deprecated items:
 
-  - RcArray (deprecated alias for ArcArray)
-  - Removed `subview_inplace` use `collapse_axis`
-  - Removed `subview_mut` use `index_axis_mut`
-  - Removed `into_subview` use `index_axis_move`
-  - Removed `subview` use `index_axis`
-  - Removed `slice_inplace` use `slice_collapse`
+    - RcArray (deprecated alias for ArcArray)
+    - Removed `subview_inplace` use `collapse_axis`
+    - Removed `subview_mut` use `index_axis_mut`
+    - Removed `into_subview` use `index_axis_move`
+    - Removed `subview` use `index_axis`
+    - Removed `slice_inplace` use `slice_collapse`
 
 - Undeprecated `remove_axis` because its replacement is hard to find out on your own.
 
 - Update public external dependencies to new versions by [@Eijebong] and [@bluss]
 
-  - num-complex 0.3
-  - approx 0.4 (optional)
-  - blas-src 0.6.1 and openblas-src 0.9.0 (optional)
+    - num-complex 0.3
+    - approx 0.4 (optional)
+    - blas-src 0.6.1 and openblas-src 0.9.0 (optional)
 
   https://github.com/rust-ndarray/ndarray/pull/810  
-  https://github.com/rust-ndarray/ndarray/pull/851  
-
+  https://github.com/rust-ndarray/ndarray/pull/851
 
 Other changes
 -------------
@@ -703,203 +695,205 @@ Other changes
   https://github.com/rust-ndarray/ndarray/pull/802
 - Release management by [@bluss]
 
-
 Version 0.13.0 (2019-09-23)
 ===========================
 
 New features
 ------------
 
- - `ndarray-parallel` is merged into `ndarray`. Use the `rayon` feature-flag to get access to parallel iterators and
-   other parallelized methods.
-   ([#563](https://github.com/rust-ndarray/ndarray/pull/563/files) by [@bluss])
- - Add `logspace` and `geomspace` constructors
-   ([#617](https://github.com/rust-ndarray/ndarray/pull/617) by [@JP-Ellis])
- - Implement approx traits for `ArrayBase`. They can be enabled using the `approx` feature-flag.
-   ([#581](https://github.com/rust-ndarray/ndarray/pull/581) by [@jturner314])
- - Add `mean` method
-   ([#580](https://github.com/rust-ndarray/ndarray/pull/580) by [@LukeMathWalker])
- - Add `Zip::all` to check if all elements satisfy a predicate
-   ([#615](https://github.com/rust-ndarray/ndarray/pull/615) by [@mneumann])
- - Add `RawArrayView` and `RawArrayViewMut` types and `RawData`, `RawDataMut`, and `RawDataClone` traits
-   ([#496](https://github.com/rust-ndarray/ndarray/pull/496) by [@jturner314])
- - Add `CowArray`, `C`lone `o`n `write` array
-   ([#632](https://github.com/rust-ndarray/ndarray/pull/632) by [@jturner314] and [@andrei-papou])
- - Add `as_standard_layout` to `ArrayBase`: it takes an array by reference and returns a `CoWArray` in standard layout
-   ([#616](https://github.com/rust-ndarray/ndarray/pull/616) by [@jturner314] and [@andrei-papou])
- - Add `Array2::from_diag` method to create 2D arrays from a diagonal
-   ([#673](https://github.com/rust-ndarray/ndarray/pull/673) by [@rth])
- - Add `fold` method to `Zip`
-   ([#684](https://github.com/rust-ndarray/ndarray/pull/684) by [@jturner314])
- - Add `split_at` method to `AxisChunksIter/Mut`
-   ([#691](https://github.com/rust-ndarray/ndarray/pull/691) by [@jturner314])
- - Implement parallel iteration for `AxisChunksIter/Mut`
-   ([#639](https://github.com/rust-ndarray/ndarray/pull/639) by [@nitsky])
- - Add `into_scalar` method to `ArrayView0` and `ArrayViewMut0`
-   ([#700](https://github.com/rust-ndarray/ndarray/pull/700) by [@LukeMathWalker])
- - Add `accumulate_axis_inplace` method to `ArrayBase`
-   ([#611](https://github.com/rust-ndarray/ndarray/pull/611) by [@jturner314] and [@bluss])
- - Add the `array!`, `azip!`, and `s!` macros to `ndarray::prelude`
-   ([#517](https://github.com/rust-ndarray/ndarray/pull/517) by [@jturner314])
+- `ndarray-parallel` is merged into `ndarray`. Use the `rayon` feature-flag to get access to parallel iterators and
+  other parallelized methods.
+  ([#563](https://github.com/rust-ndarray/ndarray/pull/563/files) by [@bluss])
+- Add `logspace` and `geomspace` constructors
+  ([#617](https://github.com/rust-ndarray/ndarray/pull/617) by [@JP-Ellis])
+- Implement approx traits for `ArrayBase`. They can be enabled using the `approx` feature-flag.
+  ([#581](https://github.com/rust-ndarray/ndarray/pull/581) by [@jturner314])
+- Add `mean` method
+  ([#580](https://github.com/rust-ndarray/ndarray/pull/580) by [@LukeMathWalker])
+- Add `Zip::all` to check if all elements satisfy a predicate
+  ([#615](https://github.com/rust-ndarray/ndarray/pull/615) by [@mneumann])
+- Add `RawArrayView` and `RawArrayViewMut` types and `RawData`, `RawDataMut`, and `RawDataClone` traits
+  ([#496](https://github.com/rust-ndarray/ndarray/pull/496) by [@jturner314])
+- Add `CowArray`, `C`lone `o`n `write` array
+  ([#632](https://github.com/rust-ndarray/ndarray/pull/632) by [@jturner314] and [@andrei-papou])
+- Add `as_standard_layout` to `ArrayBase`: it takes an array by reference and returns a `CoWArray` in standard layout
+  ([#616](https://github.com/rust-ndarray/ndarray/pull/616) by [@jturner314] and [@andrei-papou])
+- Add `Array2::from_diag` method to create 2D arrays from a diagonal
+  ([#673](https://github.com/rust-ndarray/ndarray/pull/673) by [@rth])
+- Add `fold` method to `Zip`
+  ([#684](https://github.com/rust-ndarray/ndarray/pull/684) by [@jturner314])
+- Add `split_at` method to `AxisChunksIter/Mut`
+  ([#691](https://github.com/rust-ndarray/ndarray/pull/691) by [@jturner314])
+- Implement parallel iteration for `AxisChunksIter/Mut`
+  ([#639](https://github.com/rust-ndarray/ndarray/pull/639) by [@nitsky])
+- Add `into_scalar` method to `ArrayView0` and `ArrayViewMut0`
+  ([#700](https://github.com/rust-ndarray/ndarray/pull/700) by [@LukeMathWalker])
+- Add `accumulate_axis_inplace` method to `ArrayBase`
+  ([#611](https://github.com/rust-ndarray/ndarray/pull/611) by [@jturner314] and [@bluss])
+- Add the `array!`, `azip!`, and `s!` macros to `ndarray::prelude`
+  ([#517](https://github.com/rust-ndarray/ndarray/pull/517) by [@jturner314])
 
 Enhancements
 ------------
- - Improve performance for matrix multiplications when using the pure-Rust backend thanks to `matrix-multiply:v0.2` 
-   (leverage SIMD instructions on x86-64 with runtime feature detection)
-   ([#556](https://github.com/rust-ndarray/ndarray/pull/556) by [@bluss])
- - Improve performance of `fold` for iterators
-   ([#574](https://github.com/rust-ndarray/ndarray/pull/574) by [@jturner314])
- - Improve performance of `nth_back` for iterators
-   ([#686](https://github.com/rust-ndarray/ndarray/pull/686) by [@jturner314])
- - Improve performance of iterators for 1-d arrays
-   ([#614](https://github.com/rust-ndarray/ndarray/pull/614) by [@andrei-papou])
- - Improve formatting for large arrays
-   ([#606](https://github.com/rust-ndarray/ndarray/pull/606) by [@andrei-papou] and [@LukeMathWalker],
-   [#633](https://github.com/rust-ndarray/ndarray/pull/633) and [#707](https://github.com/rust-ndarray/ndarray/pull/707) by [@jturner314],
-   and [#713](https://github.com/rust-ndarray/ndarray/pull/713) by [@bluss])
- - Arithmetic operations between arrays with different element types are now allowed when there is a scalar equivalent
-   ([#588](https://github.com/rust-ndarray/ndarray/pull/588) by [@jturner314])
- - `.map_axis/_mut` won't panic on 0-length `axis`
-   ([#579](https://github.com/rust-ndarray/ndarray/pull/612) by [@andrei-papou])
- - Various documentation improvements (by [@jturner314], [@JP-Ellis], [@LukeMathWalker], [@bluss])
+
+- Improve performance for matrix multiplications when using the pure-Rust backend thanks to `matrix-multiply:v0.2`
+  (leverage SIMD instructions on x86-64 with runtime feature detection)
+  ([#556](https://github.com/rust-ndarray/ndarray/pull/556) by [@bluss])
+- Improve performance of `fold` for iterators
+  ([#574](https://github.com/rust-ndarray/ndarray/pull/574) by [@jturner314])
+- Improve performance of `nth_back` for iterators
+  ([#686](https://github.com/rust-ndarray/ndarray/pull/686) by [@jturner314])
+- Improve performance of iterators for 1-d arrays
+  ([#614](https://github.com/rust-ndarray/ndarray/pull/614) by [@andrei-papou])
+- Improve formatting for large arrays
+  ([#606](https://github.com/rust-ndarray/ndarray/pull/606) by [@andrei-papou] and [@LukeMathWalker],
+  [#633](https://github.com/rust-ndarray/ndarray/pull/633) and [#707](https://github.com/rust-ndarray/ndarray/pull/707)
+  by [@jturner314],
+  and [#713](https://github.com/rust-ndarray/ndarray/pull/713) by [@bluss])
+- Arithmetic operations between arrays with different element types are now allowed when there is a scalar equivalent
+  ([#588](https://github.com/rust-ndarray/ndarray/pull/588) by [@jturner314])
+- `.map_axis/_mut` won't panic on 0-length `axis`
+  ([#579](https://github.com/rust-ndarray/ndarray/pull/612) by [@andrei-papou])
+- Various documentation improvements (by [@jturner314], [@JP-Ellis], [@LukeMathWalker], [@bluss])
 
 API changes
 -----------
- - The `into_slice` method on ArrayView is deprecated and renamed to `to_slice`
-   ([#646](https://github.com/rust-ndarray/ndarray/pull/646) by [@max-sixty])
- - `RcArray` is deprecated in favour of `ArcArray` 
-   ([#560](https://github.com/rust-ndarray/ndarray/pull/560) by [@bluss])
- - `into_slice` is renamed to `to_slice`. `into_slice` is now deprecated
-   ([#646](https://github.com/rust-ndarray/ndarray/pull/646) by [@max-sixty])
- - `from_vec` is deprecated in favour of using the `From` to convert a `Vec` into an `Array`
-   ([#648](https://github.com/rust-ndarray/ndarray/pull/648) by [@max-sixty])
- - `mean_axis` returns `Option<A>` instead of `A`, to avoid panicking when invoked on a 0-length axis 
-   ([#580](https://github.com/rust-ndarray/ndarray/pull/580) by [@LukeMathWalker])
- - Remove `rustc-serialize` feature-flag. `serde` is the recommended feature-flag for serialization
-   ([#557](https://github.com/rust-ndarray/ndarray/pull/557) by [@bluss])
- - `rows`/`cols` are renamed to `nrows`/`ncols`. `rows`/`cols` are now deprecated
-   ([#701](https://github.com/rust-ndarray/ndarray/pull/701) by [@bluss])
- - The usage of the `azip!` macro has changed to be more similar to `for` loops
-   ([#626](https://github.com/rust-ndarray/ndarray/pull/626) by [@jturner314])
- - For `var_axis` and `std_axis`, the constraints on `ddof` and the trait bounds on `A` have been made more strict
-   ([#515](https://github.com/rust-ndarray/ndarray/pull/515) by [@jturner314])
- - For `mean_axis`, the constraints on `A` have changed
-   ([#518](https://github.com/rust-ndarray/ndarray/pull/518) by [@jturner314])
- - `DataClone` is deprecated in favor of using `Data + RawDataClone`
-   ([#496](https://github.com/rust-ndarray/ndarray/pull/496) by [@jturner314])
- - The `Dimension::Pattern` associated type now has more trait bounds
-   ([#634](https://github.com/rust-ndarray/ndarray/pull/634) by [@termoshtt])
- - `Axis::index()` now takes `self` instead of `&self`
-   ([#642](https://github.com/rust-ndarray/ndarray/pull/642) by [@max-sixty])
- - The bounds on the implementation of `Hash` for `Dim` have changed
-   ([#642](https://github.com/rust-ndarray/ndarray/pull/642) by [@max-sixty])
+
+- The `into_slice` method on ArrayView is deprecated and renamed to `to_slice`
+  ([#646](https://github.com/rust-ndarray/ndarray/pull/646) by [@max-sixty])
+- `RcArray` is deprecated in favour of `ArcArray`
+  ([#560](https://github.com/rust-ndarray/ndarray/pull/560) by [@bluss])
+- `into_slice` is renamed to `to_slice`. `into_slice` is now deprecated
+  ([#646](https://github.com/rust-ndarray/ndarray/pull/646) by [@max-sixty])
+- `from_vec` is deprecated in favour of using the `From` to convert a `Vec` into an `Array`
+  ([#648](https://github.com/rust-ndarray/ndarray/pull/648) by [@max-sixty])
+- `mean_axis` returns `Option<A>` instead of `A`, to avoid panicking when invoked on a 0-length axis
+  ([#580](https://github.com/rust-ndarray/ndarray/pull/580) by [@LukeMathWalker])
+- Remove `rustc-serialize` feature-flag. `serde` is the recommended feature-flag for serialization
+  ([#557](https://github.com/rust-ndarray/ndarray/pull/557) by [@bluss])
+- `rows`/`cols` are renamed to `nrows`/`ncols`. `rows`/`cols` are now deprecated
+  ([#701](https://github.com/rust-ndarray/ndarray/pull/701) by [@bluss])
+- The usage of the `azip!` macro has changed to be more similar to `for` loops
+  ([#626](https://github.com/rust-ndarray/ndarray/pull/626) by [@jturner314])
+- For `var_axis` and `std_axis`, the constraints on `ddof` and the trait bounds on `A` have been made more strict
+  ([#515](https://github.com/rust-ndarray/ndarray/pull/515) by [@jturner314])
+- For `mean_axis`, the constraints on `A` have changed
+  ([#518](https://github.com/rust-ndarray/ndarray/pull/518) by [@jturner314])
+- `DataClone` is deprecated in favor of using `Data + RawDataClone`
+  ([#496](https://github.com/rust-ndarray/ndarray/pull/496) by [@jturner314])
+- The `Dimension::Pattern` associated type now has more trait bounds
+  ([#634](https://github.com/rust-ndarray/ndarray/pull/634) by [@termoshtt])
+- `Axis::index()` now takes `self` instead of `&self`
+  ([#642](https://github.com/rust-ndarray/ndarray/pull/642) by [@max-sixty])
+- The bounds on the implementation of `Hash` for `Dim` have changed
+  ([#642](https://github.com/rust-ndarray/ndarray/pull/642) by [@max-sixty])
 
 Bug fixes
 ---------
- - Prevent overflow when computing strides in `do_slice`
-   ([#575](https://github.com/rust-ndarray/ndarray/pull/575) by [@jturner314])
- - Fix issue with BLAS matrix-vector multiplication for array with only 1 non-trivial dimension
-   ([#585](https://github.com/rust-ndarray/ndarray/pull/585) by [@sebasv])
- - Fix offset computation to avoid UB/panic when slicing in some edge cases
-   ([#636](https://github.com/rust-ndarray/ndarray/pull/636) by [@jturner314])
- - Fix issues with axis iterators
-   ([#669](https://github.com/rust-ndarray/ndarray/pull/669) by [@jturner314])
- - Fix handling of empty input to `s!` macro
-   ([#714](https://github.com/rust-ndarray/ndarray/pull/714) by [@bluss] and [#715](https://github.com/rust-ndarray/ndarray/pull/715) by [@jturner314])
+
+- Prevent overflow when computing strides in `do_slice`
+  ([#575](https://github.com/rust-ndarray/ndarray/pull/575) by [@jturner314])
+- Fix issue with BLAS matrix-vector multiplication for array with only 1 non-trivial dimension
+  ([#585](https://github.com/rust-ndarray/ndarray/pull/585) by [@sebasv])
+- Fix offset computation to avoid UB/panic when slicing in some edge cases
+  ([#636](https://github.com/rust-ndarray/ndarray/pull/636) by [@jturner314])
+- Fix issues with axis iterators
+  ([#669](https://github.com/rust-ndarray/ndarray/pull/669) by [@jturner314])
+- Fix handling of empty input to `s!` macro
+  ([#714](https://github.com/rust-ndarray/ndarray/pull/714) by [@bluss]
+  and [#715](https://github.com/rust-ndarray/ndarray/pull/715) by [@jturner314])
 
 Other changes
 -------------
- - Various improvements to `ndarray`'s CI pipeline (`clippy`, `cargo fmt`, etc. by [@max-sixty] and [@termoshtt])
- - Bump minimum required Rust version to 1.37.
 
+- Various improvements to `ndarray`'s CI pipeline (`clippy`, `cargo fmt`, etc. by [@max-sixty] and [@termoshtt])
+- Bump minimum required Rust version to 1.37.
 
 Version 0.12.1 (2018-11-21)
 ===========================
 
-  - Add `std_axis` method for computing standard deviation by @LukeMathWalker.
-  - Add `product` method for computing product of elements in an array by @sebasv.
-  - Add `first` and `first_mut` methods for getting the first element of an array.
-  - Add `into_scalar` method for converting an `Array0` into its element.
-  - Add `insert_axis_inplace` and `index_axis_inplace` methods for inserting and
-    removing axes in dynamic-dimensional (`IxDyn`) arrays without taking ownership.
-  - Add `stride_of` method for getting the stride of an axis.
-  - Add public `ndim` and `zeros` methods to `Dimension` trait.
-  - Rename `scalar_sum` to `sum`, `subview` to `index_axis`,
-    `subview_mut` to `index_axis_mut`, `subview_inplace` to
-    `collapse_axis`, `into_subview` to `index_axis_move`, and
-    `slice_inplace` to `slice_collapse` (deprecating the old names,
-    except for `scalar_sum` which will be in 0.13).
-  - Deprecate `remove_axis` and fix soundness hole when removing a zero-length axis.
-  - Implement `Clone` for `LanesIter`.
-  - Implement `Debug`, `Copy`, and `Clone` for `FoldWhile`.
-  - Relax constraints on `sum_axis`, `mean_axis`, and `into_owned`.
-  - Add number of dimensions (and whether it's const or dynamic) to array `Debug` format.
-  - Allow merging axes with `merge_axes` when either axis length is ≤ 1.
-  - Clarify and check more precise safety requirements for constructing arrays.
-    This fixes undefined behavior in some edge cases.
-    (See [#543](https://github.com/rust-ndarray/ndarray/pull/543).)
-  - Fix `is_standard_layout` in some edge cases.
-    (See [#543](https://github.com/rust-ndarray/ndarray/pull/543).)
-  - Fix chunk sizes in `axis_chunks_iter` and `axis_chunks_iter_mut` when
-    the stride is zero or the array element type is zero-sized by @bluss.
-  - Improve documentation by @jturner314, @bluss, and @paulkernfeld.
-  - Improve element iterators with implementations of `Iterator::rfold`.
-  - Miscellaneous internal implementation improvements by @jturner314 and @bluss.
-
+- Add `std_axis` method for computing standard deviation by @LukeMathWalker.
+- Add `product` method for computing product of elements in an array by @sebasv.
+- Add `first` and `first_mut` methods for getting the first element of an array.
+- Add `into_scalar` method for converting an `Array0` into its element.
+- Add `insert_axis_inplace` and `index_axis_inplace` methods for inserting and
+  removing axes in dynamic-dimensional (`IxDyn`) arrays without taking ownership.
+- Add `stride_of` method for getting the stride of an axis.
+- Add public `ndim` and `zeros` methods to `Dimension` trait.
+- Rename `scalar_sum` to `sum`, `subview` to `index_axis`,
+  `subview_mut` to `index_axis_mut`, `subview_inplace` to
+  `collapse_axis`, `into_subview` to `index_axis_move`, and
+  `slice_inplace` to `slice_collapse` (deprecating the old names,
+  except for `scalar_sum` which will be in 0.13).
+- Deprecate `remove_axis` and fix soundness hole when removing a zero-length axis.
+- Implement `Clone` for `LanesIter`.
+- Implement `Debug`, `Copy`, and `Clone` for `FoldWhile`.
+- Relax constraints on `sum_axis`, `mean_axis`, and `into_owned`.
+- Add number of dimensions (and whether it's const or dynamic) to array `Debug` format.
+- Allow merging axes with `merge_axes` when either axis length is ≤ 1.
+- Clarify and check more precise safety requirements for constructing arrays.
+  This fixes undefined behavior in some edge cases.
+  (See [#543](https://github.com/rust-ndarray/ndarray/pull/543).)
+- Fix `is_standard_layout` in some edge cases.
+  (See [#543](https://github.com/rust-ndarray/ndarray/pull/543).)
+- Fix chunk sizes in `axis_chunks_iter` and `axis_chunks_iter_mut` when
+  the stride is zero or the array element type is zero-sized by @bluss.
+- Improve documentation by @jturner314, @bluss, and @paulkernfeld.
+- Improve element iterators with implementations of `Iterator::rfold`.
+- Miscellaneous internal implementation improvements by @jturner314 and @bluss.
 
 Version 0.12.0 (2018-09-01)
 ===========================
 
-  - Add `var_axis` method for computing variance by @LukeMathWalker.
-  - Add `map_mut` and `map_axis_mut` methods (mutable variants of `map` and `map_axis`) by @LukeMathWalker.
-  - Add support for 128-bit integer scalars (`i128` and `u128`).
-  - Add support for slicing with inclusive ranges (`start..=end` and `..=end`).
-  - Relax constraint on closure from `Fn` to `FnMut` for `mapv`, `mapv_into`, `map_inplace` and `mapv_inplace`.
-  - Implement `TrustedIterator` for `IterMut`.
-  - Bump `num-traits` and `num-complex` to version `0.2`.
-  - Bump `blas-src` to version `0.2`.
-  - Bump minimum required Rust version to 1.27.
-  - Additional contributors to this release: @ExpHP, @jturner314, @alexbool, @messense, @danmack, @nbro
+- Add `var_axis` method for computing variance by @LukeMathWalker.
+- Add `map_mut` and `map_axis_mut` methods (mutable variants of `map` and `map_axis`) by @LukeMathWalker.
+- Add support for 128-bit integer scalars (`i128` and `u128`).
+- Add support for slicing with inclusive ranges (`start..=end` and `..=end`).
+- Relax constraint on closure from `Fn` to `FnMut` for `mapv`, `mapv_into`, `map_inplace` and `mapv_inplace`.
+- Implement `TrustedIterator` for `IterMut`.
+- Bump `num-traits` and `num-complex` to version `0.2`.
+- Bump `blas-src` to version `0.2`.
+- Bump minimum required Rust version to 1.27.
+- Additional contributors to this release: @ExpHP, @jturner314, @alexbool, @messense, @danmack, @nbro
 
 Version 0.11.2 (2018-03-21)
 ===========================
 
-  - New documentation; @jturner314 has written a large “ndarray for NumPy users”
-    document, which we include in rustdoc.
-    [Read it here](https://docs.rs/ndarray/0.11/ndarray/doc/ndarray_for_numpy_users/)
-    a useful quick guide for any user, and in particular if you are familiar
-    with numpy.
-  - Add `ArcArray`. `RcArray` has become `ArcArray`; it is now using thread
-    safe reference counting just like `Arc`; this means that shared ownership
-    arrays are now `Send/Sync` if the corresponding element type is `Send
+- New documentation; @jturner314 has written a large “ndarray for NumPy users”
+  document, which we include in rustdoc.
+  [Read it here](https://docs.rs/ndarray/0.11/ndarray/doc/ndarray_for_numpy_users/)
+  a useful quick guide for any user, and in particular if you are familiar
+  with numpy.
+- Add `ArcArray`. `RcArray` has become `ArcArray`; it is now using thread
+  safe reference counting just like `Arc`; this means that shared ownership
+  arrays are now `Send/Sync` if the corresponding element type is `Send
     + Sync`.
-  - Add array method `.permute_axes()` by @jturner314
-  - Add array constructor `Array::ones` by @ehsanmok
-  - Add the method `.reborrow()` to `ArrayView/Mut`, which can be used
-    to shorten the lifetime of an array view; in a reference-like type this
-    normally happens implicitly but for technical reasons the views have
-    an invariant lifetime parameter.
-  - Fix an issue with type inference, the dimensionality of an array
-    should not infer correctly in more cases when using slicing. By @jturner314.
-
+- Add array method `.permute_axes()` by @jturner314
+- Add array constructor `Array::ones` by @ehsanmok
+- Add the method `.reborrow()` to `ArrayView/Mut`, which can be used
+  to shorten the lifetime of an array view; in a reference-like type this
+  normally happens implicitly but for technical reasons the views have
+  an invariant lifetime parameter.
+- Fix an issue with type inference, the dimensionality of an array
+  should not infer correctly in more cases when using slicing. By @jturner314.
 
 Version 0.11.1 (2018-01-21)
 ===========================
 
-  - Dimension types (`Ix1, Ix2, .., IxDyn`) now implement `Hash` by
-    @jturner314
-  - Blas integration can now use *gemv* for matrix-vector multiplication also
-    when the matrix is f-order by @maciejkula
-  - Encapsulated `unsafe` code blocks in the `s![]` macro are now exempted
-    from the `unsafe_code` lint by @jturner314
+- Dimension types (`Ix1, Ix2, .., IxDyn`) now implement `Hash` by
+  @jturner314
+- Blas integration can now use *gemv* for matrix-vector multiplication also
+  when the matrix is f-order by @maciejkula
+- Encapsulated `unsafe` code blocks in the `s![]` macro are now exempted
+  from the `unsafe_code` lint by @jturner314
 
 Version 0.11.0 (2017-12-29)
 ===========================
 
 [Release announcement](https://jim.turner.link/pages/ndarray-0.11/)
 
-  - Allow combined slicing and subviews in a single operation by @jturner314 and
-    @bluss
+- Allow combined slicing and subviews in a single operation by @jturner314 and
+  @bluss
 
     * Add support for individual indices (to indicate subviews) to the `s![]`
       macro, and change the return type to
@@ -909,725 +903,763 @@ Version 0.11.0 (2017-12-29)
     * Replace the `Si` type with `SliceOrIndex`.
     * Add a new `Slice` type that is similar to the old `Si` type.
 
-  - Add support for more index types (e.g. `usize`) to the `s![]` macro by
-    @jturner314
-  - Rename `.islice()` to `.slice_inplace()` by @jturner314
-  - Rename `.isubview()` to `.subview_inplace()` by @jturner314
-  - Add `.slice_move()`, `.slice_axis()`, `.slice_axis_mut()`, and
-    `.slice_axis_inplace()` methods by @jturner314
-  - Add `Dimension::NDIM` associated constant by @jturner314
-  - Change trait bounds for arithmetic ops between an array (by value) and
-    a reference to an array or array view (“array1 (op) &array2”); before,
-    an `ArrayViewMut` was supported on the left hand side, now, the left
-    hand side must not be a view.
-    ([#380](https://github.com/rust-ndarray/ndarray/pull/380)) by @jturner314
-  - Remove deprecated methods (`.whole_chunks()`, `.whole_chunks_mut()`,
-    `.sum()`, and `.mean()`; replaced by `.exact_chunks()`,
-    `.exact_chunks_mut()`, `.sum_axis()`, and `.mean_axis()`,
-    respectively) by @bluss
-  - Updated to the latest blas (optional) dependencies. See instructions in the
-    README.
-  - Minimum required Rust version is 1.22.
-
+- Add support for more index types (e.g. `usize`) to the `s![]` macro by
+  @jturner314
+- Rename `.islice()` to `.slice_inplace()` by @jturner314
+- Rename `.isubview()` to `.subview_inplace()` by @jturner314
+- Add `.slice_move()`, `.slice_axis()`, `.slice_axis_mut()`, and
+  `.slice_axis_inplace()` methods by @jturner314
+- Add `Dimension::NDIM` associated constant by @jturner314
+- Change trait bounds for arithmetic ops between an array (by value) and
+  a reference to an array or array view (“array1 (op) &array2”); before,
+  an `ArrayViewMut` was supported on the left hand side, now, the left
+  hand side must not be a view.
+  ([#380](https://github.com/rust-ndarray/ndarray/pull/380)) by @jturner314
+- Remove deprecated methods (`.whole_chunks()`, `.whole_chunks_mut()`,
+  `.sum()`, and `.mean()`; replaced by `.exact_chunks()`,
+  `.exact_chunks_mut()`, `.sum_axis()`, and `.mean_axis()`,
+  respectively) by @bluss
+- Updated to the latest blas (optional) dependencies. See instructions in the
+  README.
+- Minimum required Rust version is 1.22.
 
 Earlier releases
 ================
 
 - 0.10.13
 
-  - Add an extension trait for longer-life indexing methods for array views
-    (`IndexLonger`) by @termoshtt and @bluss
-  - The `a.dot(b)` method now supports a vector times matrix multiplication
-    by @jturner314
-  - More general `.into_owned()` method by @jturner314
+    - Add an extension trait for longer-life indexing methods for array views
+      (`IndexLonger`) by @termoshtt and @bluss
+    - The `a.dot(b)` method now supports a vector times matrix multiplication
+      by @jturner314
+    - More general `.into_owned()` method by @jturner314
 
 - 0.10.12
 
-  - Implement serde serialization for `IxDyn`, so that arrays and array views
-    using it are serializable as well.
+    - Implement serde serialization for `IxDyn`, so that arrays and array views
+      using it are serializable as well.
 
 - 0.10.11
 
-  - Add method `.uswap(a, b)` for unchecked swap by @jturner314
-  - Bump private dependencies (itertools 0.7)
+    - Add method `.uswap(a, b)` for unchecked swap by @jturner314
+    - Bump private dependencies (itertools 0.7)
 
 - 0.10.10
 
-  - Fix crash with zero size arrays in the fallback matrix multiplication code
-    (#365) by @jturner314
+    - Fix crash with zero size arrays in the fallback matrix multiplication code
+      (#365) by @jturner314
 
 - 0.10.9
 
-  - Fix crash in `Array::from_shape_fn` when creating an f-order array
-    with zero elements (#361) by @jturner314
+    - Fix crash in `Array::from_shape_fn` when creating an f-order array
+      with zero elements (#361) by @jturner314
 
 - 0.10.8
 
-  - Add method `.insert_axis()` to arrays and array views by @jturner314
+    - Add method `.insert_axis()` to arrays and array views by @jturner314
 
 - 0.10.7
 
-  - Add method `.is_empty()` to arrays and array views by @iamed2
-  - Support optional trailing commas in the `array![]` macro by Alex Burka
-  - Added an example of permuting/sorting along an axis to the sources
+    - Add method `.is_empty()` to arrays and array views by @iamed2
+    - Support optional trailing commas in the `array![]` macro by Alex Burka
+    - Added an example of permuting/sorting along an axis to the sources
 
 - 0.10.6
 
-  - Tweak the implementation for (bounds checked) indexing of arrays
-    ([] operator). The new code will have the optimizer elide the bounds checks
-    in more situations.
+    - Tweak the implementation for (bounds checked) indexing of arrays
+      ([] operator). The new code will have the optimizer elide the bounds checks
+      in more situations.
 
 - 0.10.5
 
-  - Add method `.into_dimensionality::<D>()` for dimensionality conversion
-    (From `IxDyn` to fixed size and back).
-  - New names `.sum_axis` and `.mean_axis` for sum and mean functions.
-    Old names deprecated to make room for scalar-returning methods, making
-    a proper convention.
-  - Fix deserialization using ron (#345) by @Libbum
+    - Add method `.into_dimensionality::<D>()` for dimensionality conversion
+      (From `IxDyn` to fixed size and back).
+    - New names `.sum_axis` and `.mean_axis` for sum and mean functions.
+      Old names deprecated to make room for scalar-returning methods, making
+      a proper convention.
+    - Fix deserialization using ron (#345) by @Libbum
 
 - 0.10.4
 
-  - Fix unused mut warnings in `azip!()` macro
-  - Fix bug #340 by @lloydmeta; uses blas gemm for more memory layouts
-    of column matrices. Only relevant if using blas.
+    - Fix unused mut warnings in `azip!()` macro
+    - Fix bug #340 by @lloydmeta; uses blas gemm for more memory layouts
+      of column matrices. Only relevant if using blas.
 
 - 0.10.3
 
-  - Fix docs.rs doc build
+    - Fix docs.rs doc build
 
 - 0.10.2
 
-  - Support trailing commas in the `s![]` macro
-  - Some documentation improvements for the introduction, for `azip!()` and
-    other places.
-  - Added two more examples in the source
+    - Support trailing commas in the `s![]` macro
+    - Some documentation improvements for the introduction, for `azip!()` and
+      other places.
+    - Added two more examples in the source
 
 - 0.10.1
 
-  - Add method `.into_dyn()` to convert to a dynamic dimensionality array
-    or array view. By @bobogei81123
-  - Edit docs for the fact that type alias pages now show methods.
-    See the doc pages for `Array` and `ArrayView` and the other aliases.
-  - Edit docs for `Zip`
+    - Add method `.into_dyn()` to convert to a dynamic dimensionality array
+      or array view. By @bobogei81123
+    - Edit docs for the fact that type alias pages now show methods.
+      See the doc pages for `Array` and `ArrayView` and the other aliases.
+    - Edit docs for `Zip`
 
 - 0.10.0
 
-  - Upgrade to Serde 1.0. Crate feature name is `serde-1`.
-  - Require Rust 1.18. The `pub(crate)` feature is that important.
+    - Upgrade to Serde 1.0. Crate feature name is `serde-1`.
+    - Require Rust 1.18. The `pub(crate)` feature is that important.
 
 
 - 0.9.1
 
-  - Fix `Array::from_shape_fn` to give correct indices for f-order shapes
-  - Fix `Array::from_shape_fn` to panic correctly on shape size overflow
+    - Fix `Array::from_shape_fn` to give correct indices for f-order shapes
+    - Fix `Array::from_shape_fn` to panic correctly on shape size overflow
 
 - 0.9.0 [Release Announcement](https://bluss.github.io//rust/2017/04/09/ndarray-0.9/)
 
-  - Add `Zip::indexed`
-  - New methods `genrows/_mut, gencolumns/_mut, lanes/_mut` that
-    return iterable producers (producer means `Zip` compatible).
-  - New method `.windows()` by @Robbepop, returns an iterable producer
-  - New function `general_mat_vec_mul` (with fast default and blas acceleration)
-  - `Zip::apply` and `fold_while` now take `self` as the first argument
-  - `indices/_of` now return iterable producers (not iterator)
-  - No allocation for short `IxDyn`.
-  - Remove `Ix, Ixs` from the prelude
-  - Remove deprecated `Axis::axis` method (use `.index()`)
-  - Rename `.whole_chunks` to `.exact_chunks`.
-  - Remove `.inner_iter` in favour of the new `.genrows()` method.
-  - Iterators and similar structs are now scoped under `ndarray::iter`
-  - `IntoNdProducer` now has the `Item` associated type
-  - Owned array storage types are now encapsulated in newtypes
-  - `FoldWhile` got the method `is_done`.
-  - Arrays now implement formatting trait `Binary` if elements do
-  - Internal changes. `NdProducer` generalized. `Dimension` gets
-    the `Smaller` type parameter. Internal traits have the private marker now.
-  - `#` (alternate) in formatting does nothing now.
-  - Require Rust 1.15
+    - Add `Zip::indexed`
+    - New methods `genrows/_mut, gencolumns/_mut, lanes/_mut` that
+      return iterable producers (producer means `Zip` compatible).
+    - New method `.windows()` by @Robbepop, returns an iterable producer
+    - New function `general_mat_vec_mul` (with fast default and blas acceleration)
+    - `Zip::apply` and `fold_while` now take `self` as the first argument
+    - `indices/_of` now return iterable producers (not iterator)
+    - No allocation for short `IxDyn`.
+    - Remove `Ix, Ixs` from the prelude
+    - Remove deprecated `Axis::axis` method (use `.index()`)
+    - Rename `.whole_chunks` to `.exact_chunks`.
+    - Remove `.inner_iter` in favour of the new `.genrows()` method.
+    - Iterators and similar structs are now scoped under `ndarray::iter`
+    - `IntoNdProducer` now has the `Item` associated type
+    - Owned array storage types are now encapsulated in newtypes
+    - `FoldWhile` got the method `is_done`.
+    - Arrays now implement formatting trait `Binary` if elements do
+    - Internal changes. `NdProducer` generalized. `Dimension` gets
+      the `Smaller` type parameter. Internal traits have the private marker now.
+    - `#` (alternate) in formatting does nothing now.
+    - Require Rust 1.15
 
 - 0.8.4
 
-  - Use `Zip` in `.all_close()` (performance improvement)
-  - Use `#[inline]` on a function used for higher dimensional checked
-    indexing (performance improvement for arrays of ndim >= 3)
-  - `.subview()` has a more elaborate panic message
+    - Use `Zip` in `.all_close()` (performance improvement)
+    - Use `#[inline]` on a function used for higher dimensional checked
+      indexing (performance improvement for arrays of ndim >= 3)
+    - `.subview()` has a more elaborate panic message
 
 - 0.8.3
 
-  - Fix a bug in `Zip` / `NdProducer` if an array of at least 3 dimensions
-    was contig but not c- nor f-contig.
-  - `WholeChunksIter/Mut` now impl `Send/Sync` as appropriate
-  - Misc cleanup and using dimension-reducing versions of inner_iter
-    internally. Remove a special case in `zip_mut_with` that only made it
-    slower (1D not-contig arrays).
+    - Fix a bug in `Zip` / `NdProducer` if an array of at least 3 dimensions
+      was contig but not c- nor f-contig.
+    - `WholeChunksIter/Mut` now impl `Send/Sync` as appropriate
+    - Misc cleanup and using dimension-reducing versions of inner_iter
+      internally. Remove a special case in `zip_mut_with` that only made it
+      slower (1D not-contig arrays).
 
 - 0.8.2
 
-  - Add more documentation and an example for dynamic dimensions: see
-    [`IxDyn`](https://docs.rs/ndarray/0.8.2/ndarray/type.IxDyn.html).
-    `IxDyn` will have a representation change next incompatible
-    version. Use it as a type alias for best forward compatibility.
-  - Add iterable and producer `.whole_chunks_mut(size)`.
-  - Fix a bug in `whole_chunks`: it didn't check the dimensionality of the
-    requested chunk size properly (an `IxDyn`-only bug).
-  - Improve performance of `zip_mut_with` (and thus all binary operators) for
-    block slices of row major arrays.
-  - `AxisChunksIter` creation sped up and it implements `Clone`.
-  - Dimension mismatch in `Zip` has a better panic message.
+    - Add more documentation and an example for dynamic dimensions: see
+      [`IxDyn`](https://docs.rs/ndarray/0.8.2/ndarray/type.IxDyn.html).
+      `IxDyn` will have a representation change next incompatible
+      version. Use it as a type alias for best forward compatibility.
+    - Add iterable and producer `.whole_chunks_mut(size)`.
+    - Fix a bug in `whole_chunks`: it didn't check the dimensionality of the
+      requested chunk size properly (an `IxDyn`-only bug).
+    - Improve performance of `zip_mut_with` (and thus all binary operators) for
+      block slices of row major arrays.
+    - `AxisChunksIter` creation sped up and it implements `Clone`.
+    - Dimension mismatch in `Zip` has a better panic message.
 
 
 - 0.8.1
 
-  - Add `Zip` and macro `azip!()` which implement lock step function
-    application across elements from one up to six arrays (or in general
-    producers)
+    - Add `Zip` and macro `azip!()` which implement lock step function
+      application across elements from one up to six arrays (or in general
+      producers)
 
-    + Apart from array views, axis iterators and the whole chunks iterable are
-      also producers
+        + Apart from array views, axis iterators and the whole chunks iterable are
+          also producers
 
-  - Add constructor `Array::uninitialized`
-  - Add iterable and producer `.whole_chunks(size)`
-  - Implement a prettier `Debug` for `Si`.
-  - Fix `Array::default` so that it panics as documented if the size of the
-    array would wrap around integer type limits.
-  - Output more verbose panics for errors when slicing arrays (only in debug
-    mode).
+    - Add constructor `Array::uninitialized`
+    - Add iterable and producer `.whole_chunks(size)`
+    - Implement a prettier `Debug` for `Si`.
+    - Fix `Array::default` so that it panics as documented if the size of the
+      array would wrap around integer type limits.
+    - Output more verbose panics for errors when slicing arrays (only in debug
+      mode).
 
 - 0.8.0
 
-  - Update serde dependency to 0.9
-  - Remove deprecated type alias `OwnedArray` (use `Array`)
-  - Remove deprecated `.assign_scalar()` (use `fill`)
+    - Update serde dependency to 0.9
+    - Remove deprecated type alias `OwnedArray` (use `Array`)
+    - Remove deprecated `.assign_scalar()` (use `fill`)
 
 - 0.7.3
 
-  - Add macro `array![]` for creating one-, two-, or three-dimensional arrays
-    (with ownership semantics like `vec![]`)
-  - `Array` now implements `Clone::clone_from()` specifically, so that its
-    allocation is (possibly) reused.
-  - Add `.to_vec()` for one-dimensional arrays
-  - Add `RcArray::into_owned(self) -> Array`.
-  - Add crate categories
+    - Add macro `array![]` for creating one-, two-, or three-dimensional arrays
+      (with ownership semantics like `vec![]`)
+    - `Array` now implements `Clone::clone_from()` specifically, so that its
+      allocation is (possibly) reused.
+    - Add `.to_vec()` for one-dimensional arrays
+    - Add `RcArray::into_owned(self) -> Array`.
+    - Add crate categories
 
 - 0.7.2
 
-  - Add array methods `.remove_axis()`, `.merge_axes()` and `.invert_axis()`
-  - Rename `Axis`’ accessor `axis` to `index`, old name is deprecated.
+    - Add array methods `.remove_axis()`, `.merge_axes()` and `.invert_axis()`
+    - Rename `Axis`’ accessor `axis` to `index`, old name is deprecated.
 
 - 0.7.1
 
-  - Fix two bugs in `Array::clone()`; it did not support zero-size elements
-    like `()`, and for some negatively strided arrays it did not update the
-    first element offset correctly.
-  - Add `.axes()` which is an iterator over the axes of an array, yielding
-    its index, length and stride.
-  - Add method `.max_stride_axis()`.
+    - Fix two bugs in `Array::clone()`; it did not support zero-size elements
+      like `()`, and for some negatively strided arrays it did not update the
+      first element offset correctly.
+    - Add `.axes()` which is an iterator over the axes of an array, yielding
+      its index, length and stride.
+    - Add method `.max_stride_axis()`.
 
 - 0.6.10
 
-  - Fix two bugs in `Array::clone()`; it did not support zero-size elements
-    like `()`, and for some negatively strided arrays it did not update the
-    first element offset correctly.
+    - Fix two bugs in `Array::clone()`; it did not support zero-size elements
+      like `()`, and for some negatively strided arrays it did not update the
+      first element offset correctly.
 
 - 0.7.0
 
-  - Big overhaul of dimensions: Add type `Dim` with aliases
-    `Ix1, Ix2, Ix3, ...` etc for specific dimensionalities.
-    Instead of `Ix` for dimension use `Ix1`, instead of `(Ix, Ix)` use
-    `Ix2`, and so on.
-  - The dimension type `Dim` supports indexing and arithmetic. See
-    `Dimension` trait for new methods and inherited traits.
-  - Constructors and methods that take tuples for array sizes, like `Array::zeros,`
-    `Array::from_shape_vec`, `.into_shape()` and so on will continue to work
-    with tuples.
-  - The array method `.raw_dim()` returns the shape description
-    `D` as it is. `.dim()` continues to return the dimension as a tuple.
-  - Renamed iterators for consistency (each iterator is named for the
-    method that creates it, for example `.iter()` returns `Iter`).
-  - The index iterator is now created with free functions `indices` or
-    `indices_of`.
-  - Expanded the `ndarray::prelude` module with the dimensionality-specific
-    type aliases, and some other items
-  - `LinalgScalar` and related features no longer need to use `Any` for
-    static type dispatch.
-  - Serialization with `serde` now supports binary encoders like bincode
-    and others.
-  - `.assign_scalar()` was deprecated and replaced by `.fill()`, which
-    takes an element by value.
-  - Require Rust 1.13
+    - Big overhaul of dimensions: Add type `Dim` with aliases
+      `Ix1, Ix2, Ix3, ...` etc for specific dimensionalities.
+      Instead of `Ix` for dimension use `Ix1`, instead of `(Ix, Ix)` use
+      `Ix2`, and so on.
+    - The dimension type `Dim` supports indexing and arithmetic. See
+      `Dimension` trait for new methods and inherited traits.
+    - Constructors and methods that take tuples for array sizes, like `Array::zeros,`
+      `Array::from_shape_vec`, `.into_shape()` and so on will continue to work
+      with tuples.
+    - The array method `.raw_dim()` returns the shape description
+      `D` as it is. `.dim()` continues to return the dimension as a tuple.
+    - Renamed iterators for consistency (each iterator is named for the
+      method that creates it, for example `.iter()` returns `Iter`).
+    - The index iterator is now created with free functions `indices` or
+      `indices_of`.
+    - Expanded the `ndarray::prelude` module with the dimensionality-specific
+      type aliases, and some other items
+    - `LinalgScalar` and related features no longer need to use `Any` for
+      static type dispatch.
+    - Serialization with `serde` now supports binary encoders like bincode
+      and others.
+    - `.assign_scalar()` was deprecated and replaced by `.fill()`, which
+      takes an element by value.
+    - Require Rust 1.13
 
 - 0.6.9
 
-  - Implement `ExactSizeIterator` for the indexed iterators
+    - Implement `ExactSizeIterator` for the indexed iterators
 
 - 0.6.8
 
-  - Fix a bug in a partially consumed elements iterator's `.fold()`.
-    (**Note** that users are recommended to not use the elements iterator,
-    but the higher level functions which are the maps, folds and other methods
-    of the array types themselves.)
+    - Fix a bug in a partially consumed elements iterator's `.fold()`.
+      (**Note** that users are recommended to not use the elements iterator,
+      but the higher level functions which are the maps, folds and other methods
+      of the array types themselves.)
 
 - 0.6.7
 
-  - Improve performance of a lot of basic operations for arrays where
-    the innermost dimension is not contiguous (`.fold(), .map(),
-    .to_owned()`, arithmetic operations with scalars).
-  - Require Rust 1.11
+    - Improve performance of a lot of basic operations for arrays where
+      the innermost dimension is not contiguous (`.fold(), .map(),
+      .to_owned()`, arithmetic operations with scalars).
+    - Require Rust 1.11
 
 - 0.6.6
 
-  - Add dimensionality specific type aliases: `Array0, Array1, Array2, ...`
-    and so on (there are many), also `Ix0, Ix1, Ix2, ...`.
-  - Add constructor `Array::from_shape_fn(D, |D| -> A)`.
-  - Improve performance of `Array::default`, and `.fold()` for noncontiguous
-    array iterators.
+    - Add dimensionality specific type aliases: `Array0, Array1, Array2, ...`
+      and so on (there are many), also `Ix0, Ix1, Ix2, ...`.
+    - Add constructor `Array::from_shape_fn(D, |D| -> A)`.
+    - Improve performance of `Array::default`, and `.fold()` for noncontiguous
+      array iterators.
 
 - 0.6.5
 
-  - Add method `.into_raw_vec()` to turn an `Array` into the its
-    underlying element storage vector, in whatever element order it is using.
+    - Add method `.into_raw_vec()` to turn an `Array` into the its
+      underlying element storage vector, in whatever element order it is using.
 
 - 0.6.4
 
-  - Add method `.map_axis()` which is used to flatten an array along
-    one axis by mapping it to a scalar.
+    - Add method `.map_axis()` which is used to flatten an array along
+      one axis by mapping it to a scalar.
 
 - 0.6.3
 
-  - Work around compilation issues in nightly (issue #217)
-  - Add `Default` implementations for owned arrays
+    - Work around compilation issues in nightly (issue #217)
+    - Add `Default` implementations for owned arrays
 
 - 0.6.2
 
-  - Add serialization support for serde 0.8, under the crate feature name `serde`
+    - Add serialization support for serde 0.8, under the crate feature name `serde`
 
 - 0.6.1
 
-  - Add `unsafe` array view constructors `ArrayView::from_shape_ptr`
-    for read-only and read-write array views. These make it easier to
-    create views from raw pointers.
+    - Add `unsafe` array view constructors `ArrayView::from_shape_ptr`
+      for read-only and read-write array views. These make it easier to
+      create views from raw pointers.
 
 - 0.6.0
 
-  - Rename `OwnedArray` to `Array`. The old name is deprecated.
-  - Remove deprecated constructor methods. Use zeros, from_elem, from_shape_vec
-    or from_shape_vec_unchecked instead.
-  - Remove deprecated in place arithmetic methods like iadd et.c. Use += et.c.
-    instead.
-  - Remove deprecated method mat_mul, use dot instead.
-  - Require Rust 1.9
+    - Rename `OwnedArray` to `Array`. The old name is deprecated.
+    - Remove deprecated constructor methods. Use zeros, from_elem, from_shape_vec
+      or from_shape_vec_unchecked instead.
+    - Remove deprecated in place arithmetic methods like iadd et.c. Use += et.c.
+      instead.
+    - Remove deprecated method mat_mul, use dot instead.
+    - Require Rust 1.9
 
 - 0.5.2
 
-  - Use num-traits, num-complex instead of num.
+    - Use num-traits, num-complex instead of num.
 
 - 0.5.1
 
-  - Fix theoretical well-formedness issue with Data trait
+    - Fix theoretical well-formedness issue with Data trait
 
 - 0.5.0
 
-  - Require Rust 1.8 and enable +=, -=, and the other assign operators.
-    All `iadd, iadd_scalar` and similar methods are now deprecated.
-  - ndarray now has a prelude: `use ndarray::prelude::*;`.
-  - Constructors from_elem, zeros, from_shape_vec now all support passing a custom
-    memory layout. A lot of specific constructors were deprecated.
-  - Add method `.select(Axis, &[Ix]) -> OwnedArray`, to create an array
-    from a non-contiguous pick of subviews along an axis.
-  - Rename `.mat_mul()` to just `.dot()` and add a function `general_mat_mul`
-    for matrix multiplication with scaling into an existing array.
-  - **Change .fold() to use arbitrary order.**
-  - See below for more details
+    - Require Rust 1.8 and enable +=, -=, and the other assign operators.
+      All `iadd, iadd_scalar` and similar methods are now deprecated.
+    - ndarray now has a prelude: `use ndarray::prelude::*;`.
+    - Constructors from_elem, zeros, from_shape_vec now all support passing a custom
+      memory layout. A lot of specific constructors were deprecated.
+    - Add method `.select(Axis, &[Ix]) -> OwnedArray`, to create an array
+      from a non-contiguous pick of subviews along an axis.
+    - Rename `.mat_mul()` to just `.dot()` and add a function `general_mat_mul`
+      for matrix multiplication with scaling into an existing array.
+    - **Change .fold() to use arbitrary order.**
+    - See below for more details
 
 - 0.5.0-alpha.2
 
-  - Fix a namespace bug in the stack![] macro.
-  - Add method .select() that can pick an arbitrary set of rows (for example)
-    into a new array.
+    - Fix a namespace bug in the stack![] macro.
+    - Add method .select() that can pick an arbitrary set of rows (for example)
+      into a new array.
 
 - 0.4.9
 
-  - Fix a namespace bug in the stack![] macro.
-  - Add deprecation messages to .iadd() and similar methods (use += instead).
+    - Fix a namespace bug in the stack![] macro.
+    - Add deprecation messages to .iadd() and similar methods (use += instead).
 
 - 0.5.0-alpha.1
 
-  - Add .swap(i, j) for swapping two elements
-  - Add a prelude module `use ndarray::prelude::*;`
-  - Add ndarray::linalg::general_mat_mul which computes *C ← α A B + β C*,
-    i.e matrix multiplication into an existing array, with optional scaling.
-  - Add .fold_axis(Axis, folder)
-  - Implement .into_shape() for f-order arrays
+    - Add .swap(i, j) for swapping two elements
+    - Add a prelude module `use ndarray::prelude::*;`
+    - Add ndarray::linalg::general_mat_mul which computes *C ← α A B + β C*,
+      i.e matrix multiplication into an existing array, with optional scaling.
+    - Add .fold_axis(Axis, folder)
+    - Implement .into_shape() for f-order arrays
 
 - 0.5.0-alpha.0
 
-  - Requires Rust 1.8. Compound assignment operators are now enabled by default.
-  - Rename `.mat_mul()` to `.dot()`. The same method name now handles
-    dot product and matrix multiplication.
-  - Remove deprecated items: raw_data, raw_data_mut, allclose, zeros, Array.
-    Docs for 0.4. lists the replacements.
-  - Remove deprecated crate features: rblas, assign_ops
-  - A few consuming arithmetic ops with ArrayViewMut were removed (this
-    was missed in the last version).
-  - **Change .fold() to use arbitrary order.** Its specification and
-    implementation has changed, to pick the most appropriate element traversal
-    order depending on memory layout.
+    - Requires Rust 1.8. Compound assignment operators are now enabled by default.
+    - Rename `.mat_mul()` to `.dot()`. The same method name now handles
+      dot product and matrix multiplication.
+    - Remove deprecated items: raw_data, raw_data_mut, allclose, zeros, Array.
+      Docs for 0.4. lists the replacements.
+    - Remove deprecated crate features: rblas, assign_ops
+    - A few consuming arithmetic ops with ArrayViewMut were removed (this
+      was missed in the last version).
+    - **Change .fold() to use arbitrary order.** Its specification and
+      implementation has changed, to pick the most appropriate element traversal
+      order depending on memory layout.
 
 - 0.4.8
 
-  - Fix an error in `.dot()` when using BLAS and arrays with negative stride.
+    - Fix an error in `.dot()` when using BLAS and arrays with negative stride.
 
 - 0.4.7
 
-  - Add dependency matrixmultiply to handle matrix multiplication
-    for floating point elements. It supports matrices of general stride
-    and is a great improvement for performance. See PR #175.
+    - Add dependency matrixmultiply to handle matrix multiplication
+      for floating point elements. It supports matrices of general stride
+      and is a great improvement for performance. See PR #175.
 
 - 0.4.6
 
-  - Fix bug with crate feature blas; it would not compute matrix
-    multiplication correctly for arrays with negative or zero stride.
-  - Update blas-sys version (optional dependency).
+    - Fix bug with crate feature blas; it would not compute matrix
+      multiplication correctly for arrays with negative or zero stride.
+    - Update blas-sys version (optional dependency).
 
 - 0.4.5
 
-  - Add `.all_close()` which replaces the now deprecated `.allclose()`.
-    The new method has a stricter protocol: it panics if the array
-    shapes are not compatible. We don't want errors to pass silently.
-  - Add a new illustration to the doc for `.axis_iter()`.
-  - Rename `OuterIter, OuterIterMut` to `AxisIter, AxisIterMut`.
-    The old name is now deprecated.
+    - Add `.all_close()` which replaces the now deprecated `.allclose()`.
+      The new method has a stricter protocol: it panics if the array
+      shapes are not compatible. We don't want errors to pass silently.
+    - Add a new illustration to the doc for `.axis_iter()`.
+    - Rename `OuterIter, OuterIterMut` to `AxisIter, AxisIterMut`.
+      The old name is now deprecated.
 
 - 0.4.4
 
-  - Add mapping methods `.mapv(), .mapv_into(), .map_inplace(),`
-    `.mapv_inplace(), .visit()`. The `mapv` versions
-    have the transformation function receive the element by value (hence *v*).
-  - Add method `.scaled_add()` (a.k.a axpy) and constructor `from_vec_dim_f`.
-  - Add 2d array methods `.rows(), .cols()`.
-  - Deprecate method `.fold()` because it dictates a specific visit order.
+    - Add mapping methods `.mapv(), .mapv_into(), .map_inplace(),`
+      `.mapv_inplace(), .visit()`. The `mapv` versions
+      have the transformation function receive the element by value (hence *v*).
+    - Add method `.scaled_add()` (a.k.a axpy) and constructor `from_vec_dim_f`.
+    - Add 2d array methods `.rows(), .cols()`.
+    - Deprecate method `.fold()` because it dictates a specific visit order.
 
 - 0.4.3
 
-  - Add array method `.t()` as a shorthand to create a transposed view.
-  - Fix `mat_mul` so that it accepts arguments of different array kind
-  - Fix a bug in `mat_mul` when using BLAS and multiplying with a column
-    matrix (#154)
+    - Add array method `.t()` as a shorthand to create a transposed view.
+    - Fix `mat_mul` so that it accepts arguments of different array kind
+    - Fix a bug in `mat_mul` when using BLAS and multiplying with a column
+      matrix (#154)
 
 - 0.4.2
 
-  - Add new BLAS integration used by matrix multiplication
-    (selected with crate feature `blas`). Uses pluggable backend.
-  - Deprecate module `ndarray::blas` and crate feature `rblas`. This module
-    was moved to the crate `ndarray-rblas`.
-  - Add array methods `as_slice_memory_order, as_slice_memory_order_mut, as_ptr,
-    as_mut_ptr`.
-  - Deprecate `raw_data, raw_data_mut`.
-  - Add `Send + Sync` to `NdFloat`.
-  - Arrays now show shape & stride in their debug formatter.
-  - Fix a bug where `from_vec_dim_stride` did not accept arrays with unitary axes.
-  - Performance improvements for contiguous arrays in non-c order when using
-    methods `to_owned, map, scalar_sum, assign_scalar`,
-    and arithmetic operations between array and scalar.
-  - Some methods now return arrays in the same memory order of the input
-    if the input is contiguous: `to_owned, map, mat_mul` (matrix multiplication
-    only if both inputs are the same memory order), and arithmetic operations
-    that allocate a new result.
-  - Slight performance improvements in `dot, mat_mul` due to more efficient
-    glue code for calling BLAS.
-  - Performance improvements in `.assign_scalar`.
+    - Add new BLAS integration used by matrix multiplication
+      (selected with crate feature `blas`). Uses pluggable backend.
+    - Deprecate module `ndarray::blas` and crate feature `rblas`. This module
+      was moved to the crate `ndarray-rblas`.
+    - Add array methods `as_slice_memory_order, as_slice_memory_order_mut, as_ptr,
+      as_mut_ptr`.
+    - Deprecate `raw_data, raw_data_mut`.
+    - Add `Send + Sync` to `NdFloat`.
+    - Arrays now show shape & stride in their debug formatter.
+    - Fix a bug where `from_vec_dim_stride` did not accept arrays with unitary axes.
+    - Performance improvements for contiguous arrays in non-c order when using
+      methods `to_owned, map, scalar_sum, assign_scalar`,
+      and arithmetic operations between array and scalar.
+    - Some methods now return arrays in the same memory order of the input
+      if the input is contiguous: `to_owned, map, mat_mul` (matrix multiplication
+      only if both inputs are the same memory order), and arithmetic operations
+      that allocate a new result.
+    - Slight performance improvements in `dot, mat_mul` due to more efficient
+      glue code for calling BLAS.
+    - Performance improvements in `.assign_scalar`.
 
 - 0.4.1
 
-  - Mark iterators `Send + Sync` when possible.
+    - Mark iterators `Send + Sync` when possible.
 
 - **0.4.0** [Release Announcement](http://bluss.github.io/rust/2016/03/06/ndarray-0.4/)
 
-  - New array splitting via `.split_at(Axis, Ix)` and `.axis_chunks_iter()`
-  - Added traits `NdFloat`, `AsArray` and `From for ArrayView` which
-    improve generic programming.
-  - Array constructors panic when attempting to create an array whose element
-    count overflows `usize`. (Would be a debug assertion for overflow before.)
-  - Performance improvements for `.map()`.
-  - Added `stack` and macro `stack![axis, arrays..]` to concatenate arrays.
-  - Added constructor `OwnedArray::range(start, end, step)`.
-  - The type alias `Array` was renamed to `RcArray` (and the old name deprecated).
-  - Binary operators are not defined when consuming a mutable array view as
-    the left hand side argument anymore.
-  - Remove methods and items deprecated since 0.3 or earlier; deprecated methods
-    have notes about replacements in 0.3 docs.
-  - See below for full changelog through alphas.
+    - New array splitting via `.split_at(Axis, Ix)` and `.axis_chunks_iter()`
+    - Added traits `NdFloat`, `AsArray` and `From for ArrayView` which
+      improve generic programming.
+    - Array constructors panic when attempting to create an array whose element
+      count overflows `usize`. (Would be a debug assertion for overflow before.)
+    - Performance improvements for `.map()`.
+    - Added `stack` and macro `stack![axis, arrays..]` to concatenate arrays.
+    - Added constructor `OwnedArray::range(start, end, step)`.
+    - The type alias `Array` was renamed to `RcArray` (and the old name deprecated).
+    - Binary operators are not defined when consuming a mutable array view as
+      the left hand side argument anymore.
+    - Remove methods and items deprecated since 0.3 or earlier; deprecated methods
+      have notes about replacements in 0.3 docs.
+    - See below for full changelog through alphas.
 
 - 0.4.0-alpha.8
 
-  - In debug mode, indexing an array out of bounds now has a detailed
-    message about index and shape. (In release mode it does not.)
-  - Enable assign_ops feature automatically when it is supported (Rust 1.8 beta
-    or later).
-  - Add trait `NdFloat` which makes it easy to be generic over `f32, f64`.
-  - Add `From` implementations that convert slices or references to arrays
-    into array views. This replaces `from_slice` from a previous alpha.
-  - Add `AsArray` trait, which is simply based on those `From` implementations.
-  - Improve `.map()` so that it can autovectorize.
-  - Use `Axis` argument in `RemoveAxis` too.
-  - Require `DataOwned` in the raw data methods.
-  - Merged error types into a single `ShapeError`, which uses no allocated data.
+    - In debug mode, indexing an array out of bounds now has a detailed
+      message about index and shape. (In release mode it does not.)
+    - Enable assign_ops feature automatically when it is supported (Rust 1.8 beta
+      or later).
+    - Add trait `NdFloat` which makes it easy to be generic over `f32, f64`.
+    - Add `From` implementations that convert slices or references to arrays
+      into array views. This replaces `from_slice` from a previous alpha.
+    - Add `AsArray` trait, which is simply based on those `From` implementations.
+    - Improve `.map()` so that it can autovectorize.
+    - Use `Axis` argument in `RemoveAxis` too.
+    - Require `DataOwned` in the raw data methods.
+    - Merged error types into a single `ShapeError`, which uses no allocated data.
 
 - 0.4.0-alpha.7
 
-  - Fix too strict lifetime bound in arithmetic operations like `&a @ &b`.
-  - Rename trait Scalar to ScalarOperand (and improve its docs).
-  - Implement <<= and >>= for arrays.
+    - Fix too strict lifetime bound in arithmetic operations like `&a @ &b`.
+    - Rename trait Scalar to ScalarOperand (and improve its docs).
+    - Implement <<= and >>= for arrays.
 
 - 0.4.0-alpha.6
 
-  - All axis arguments must now be wrapped in newtype `Axis`.
-  - Add method `.split_at(Axis, Ix)` to read-only and read-write array views.
-  - Add constructors `ArrayView{,Mut}::from_slice` and array view methods
-    are now visible in the docs.
+    - All axis arguments must now be wrapped in newtype `Axis`.
+    - Add method `.split_at(Axis, Ix)` to read-only and read-write array views.
+    - Add constructors `ArrayView{,Mut}::from_slice` and array view methods
+      are now visible in the docs.
 
 - 0.4.0-alpha.5
 
-  - Use new trait `LinalgScalar` for operations where we want type-based specialization.
-    This shrinks the set of types that allow dot product, matrix multiply, mean.
-  - Use BLAS acceleration transparently in `.dot()` (this is the first step).
-  - Only OwnedArray and RcArray and not ArrayViewMut can now be used as consumed
-    left hand operand for arithmetic operators. [See arithmetic operations docs!](
-    https://docs.rs/ndarray/0.4.0-alpha.5/ndarray/struct.ArrayBase.html#arithmetic-operations)
-  - Remove deprecated module `linalg` (it was already mostly empty)
-  - Deprecate free function `zeros` in favour of static method `zeros`.
+    - Use new trait `LinalgScalar` for operations where we want type-based specialization.
+      This shrinks the set of types that allow dot product, matrix multiply, mean.
+    - Use BLAS acceleration transparently in `.dot()` (this is the first step).
+    - Only OwnedArray and RcArray and not ArrayViewMut can now be used as consumed
+      left hand operand for arithmetic operators. [See arithmetic operations docs!](
+      https://docs.rs/ndarray/0.4.0-alpha.5/ndarray/struct.ArrayBase.html#arithmetic-operations)
+    - Remove deprecated module `linalg` (it was already mostly empty)
+    - Deprecate free function `zeros` in favour of static method `zeros`.
 
 - 0.4.0-alpha.4
 
-  - Rename `Array` to `RcArray`. Old name is deprecated.
-  - Add methods `OuterIter::split_at`, `OuterIterMut::split_at`
-  - Change `arr0, arr1, arr2, arr3` to return `OwnedArray`.
-    Add `rcarr1, rcarr2, rcarr3` that return `RcArray`.
+    - Rename `Array` to `RcArray`. Old name is deprecated.
+    - Add methods `OuterIter::split_at`, `OuterIterMut::split_at`
+    - Change `arr0, arr1, arr2, arr3` to return `OwnedArray`.
+      Add `rcarr1, rcarr2, rcarr3` that return `RcArray`.
 
 - 0.4.0-alpha.3
 
-  - Improve arithmetic operations where the RHS is a broadcast 0-dimensional
-    array.
-  - Add read-only and read-write array views to the `rblas` integration.
-    Added methods `AsBlas::{blas_view_checked, blas_view_mut_checked, bv, bvm}`.
-  - Use hash_slice in `Hash` impl for arrays.
+    - Improve arithmetic operations where the RHS is a broadcast 0-dimensional
+      array.
+    - Add read-only and read-write array views to the `rblas` integration.
+      Added methods `AsBlas::{blas_view_checked, blas_view_mut_checked, bv, bvm}`.
+    - Use hash_slice in `Hash` impl for arrays.
 
 - 0.4.0-alpha.2
 
-  - Add `ArrayBase::reversed_axes` which transposes an array.
+    - Add `ArrayBase::reversed_axes` which transposes an array.
 
 - 0.4.0-alpha.1
 
-  - Add checked and unchecked constructor methods for creating arrays
-    from a vector and explicit dimension and stride, or with
-    fortran (column major) memory order (marked `f`):
-    
-    + `ArrayBase::from_vec_dim`, `from_vec_dim_stride`,
-      `from_vec_dim_stride_unchecked`,
-    + `from_vec_dim_unchecked_f`, `from_elem_f`, `zeros_f`
-    + View constructors `ArrayView::from_slice_dim_stride`,
-      `ArrayViewMut::from_slice_dim_stride`.
-    + Rename old `ArrayBase::from_vec_dim` to `from_vec_dim_unchecked`.
-
-  - Check better for wraparound when computing the number of elements in a shape;
-    this adds error cases that **panic** in `from_elem`, `zeros` etc,
-    however *the new check will only ever panic in cases that would
-    trigger debug assertions for overflow in the previous versions*!.
-  - Add an array chunks iterator `.axis_chunks_iter()` and mutable version;
-    it allows traversing the array in for example chunks of *n* rows at a time.
-  - Remove methods and items deprecated since 0.3 or earlier; deprecated methods
-    have notes about replacements in 0.3 docs.
+    - Add checked and unchecked constructor methods for creating arrays
+      from a vector and explicit dimension and stride, or with
+      fortran (column major) memory order (marked `f`):
+
+        + `ArrayBase::from_vec_dim`, `from_vec_dim_stride`,
+          `from_vec_dim_stride_unchecked`,
+        + `from_vec_dim_unchecked_f`, `from_elem_f`, `zeros_f`
+        + View constructors `ArrayView::from_slice_dim_stride`,
+          `ArrayViewMut::from_slice_dim_stride`.
+        + Rename old `ArrayBase::from_vec_dim` to `from_vec_dim_unchecked`.
+
+    - Check better for wraparound when computing the number of elements in a shape;
+      this adds error cases that **panic** in `from_elem`, `zeros` etc,
+      however *the new check will only ever panic in cases that would
+      trigger debug assertions for overflow in the previous versions*!.
+    - Add an array chunks iterator `.axis_chunks_iter()` and mutable version;
+      it allows traversing the array in for example chunks of *n* rows at a time.
+    - Remove methods and items deprecated since 0.3 or earlier; deprecated methods
+      have notes about replacements in 0.3 docs.
 
 - 0.3.1
 
-  - Add `.row_mut()`, `.column_mut()`
-  - Add `.axis_iter()`, `.axis_iter_mut()`
+    - Add `.row_mut()`, `.column_mut()`
+    - Add `.axis_iter()`, `.axis_iter_mut()`
 
 - **0.3.0**
 
-  - Second round of API & consistency update is done
-  - 0.3.0 highlight: **Index type** `Ix` **changed to** `usize`.
-  - 0.3.0 highlight: Operator overloading for scalar and array arithmetic.
-  - 0.3.0 highlight: Indexing with `a[[i, j, k]]` syntax.
-  - Add `ArrayBase::eye(n)`
-  - See below for more info
+    - Second round of API & consistency update is done
+    - 0.3.0 highlight: **Index type** `Ix` **changed to** `usize`.
+    - 0.3.0 highlight: Operator overloading for scalar and array arithmetic.
+    - 0.3.0 highlight: Indexing with `a[[i, j, k]]` syntax.
+    - Add `ArrayBase::eye(n)`
+    - See below for more info
 
 - 0.3.0-alpha.4
 
-  - Shrink array view structs by removing their redundant slice field (see #45).
-    Changed the definition of the view `type` aliases.
-  - `.mat_mul()` and `.mat_mul_col()` now return `OwnedArray`.
-    Use `.into_shared()` if you need an `Array`.
-  - impl ExactSizeIterator where possible for iterators.
-  - impl DoubleEndedIterator for `.outer_iter()` (and _mut).
+    - Shrink array view structs by removing their redundant slice field (see #45).
+      Changed the definition of the view `type` aliases.
+    - `.mat_mul()` and `.mat_mul_col()` now return `OwnedArray`.
+      Use `.into_shared()` if you need an `Array`.
+    - impl ExactSizeIterator where possible for iterators.
+    - impl DoubleEndedIterator for `.outer_iter()` (and _mut).
 
 - 0.3.0-alpha.3
 
-  - `.subview()` changed to return an array view, also added `into_subview()`.
-  - Add `.outer_iter()` and `.outer_iter_mut()` for iteration along the
-    greatest axis of the array. Views also implement `into_outer_iter()` for
-    “lifetime preserving” iterators.
+    - `.subview()` changed to return an array view, also added `into_subview()`.
+    - Add `.outer_iter()` and `.outer_iter_mut()` for iteration along the
+      greatest axis of the array. Views also implement `into_outer_iter()` for
+      “lifetime preserving” iterators.
 
 - 0.3.0-alpha.2
 
-  - Improve the strided last dimension case in `zip_mut_with` slightly
-    (affects all binary operations).
-  - Add `.row(i), .column(i)` for 2D arrays.
-  - Deprecate `.row_iter(), .col_iter()`.
-  - Add method `.dot()` for computing the dot product between two 1D arrays.
+    - Improve the strided last dimension case in `zip_mut_with` slightly
+      (affects all binary operations).
+    - Add `.row(i), .column(i)` for 2D arrays.
+    - Deprecate `.row_iter(), .col_iter()`.
+    - Add method `.dot()` for computing the dot product between two 1D arrays.
 
 
 - 0.3.0-alpha.1
 
-  - **Index type** `Ix` **changed to** `usize` (#9). Gives better iterator codegen
-    and 64-bit size arrays.
-  - Support scalar operands with arithmetic operators.
-  - Change `.slice()` and `.diag()` to return array views, add `.into_diag()`.
-  - Add ability to use fixed size arrays for array indexing, enabling syntax
-    like `a[[i, j]]` for indexing.
-  - Add `.ndim()`
+    - **Index type** `Ix` **changed to** `usize` (#9). Gives better iterator codegen
+      and 64-bit size arrays.
+    - Support scalar operands with arithmetic operators.
+    - Change `.slice()` and `.diag()` to return array views, add `.into_diag()`.
+    - Add ability to use fixed size arrays for array indexing, enabling syntax
+      like `a[[i, j]]` for indexing.
+    - Add `.ndim()`
 
 - **0.2.0**
 
-  - First chapter of API and performance evolution is done \\o/
-  - 0.2.0 highlight: Vectorized (efficient) arithmetic operations
-  - 0.2.0 highlight: Easier slicing using `s![]`
-  - 0.2.0 highlight: Nicer API using views
-  - 0.2.0 highlight: Bridging to BLAS functions.
-  - See below for more info
+    - First chapter of API and performance evolution is done \\o/
+    - 0.2.0 highlight: Vectorized (efficient) arithmetic operations
+    - 0.2.0 highlight: Easier slicing using `s![]`
+    - 0.2.0 highlight: Nicer API using views
+    - 0.2.0 highlight: Bridging to BLAS functions.
+    - See below for more info
 
 - 0.2.0-alpha.9
 
-  - Support strided matrices in `rblas` bridge, and fix a bug with
-    non square matrices.
-  - Deprecated all of module `linalg`.
+    - Support strided matrices in `rblas` bridge, and fix a bug with
+      non square matrices.
+    - Deprecated all of module `linalg`.
 
 - 0.2.0-alpha.8
 
-  - **Note:** PACKAGE NAME CHANGED TO `ndarray`. Having package != crate ran
-    into many quirks of various tools. Changing the package name is easier for
-    everyone involved!
-  - Optimized `scalar_sum()` so that it will vectorize for the floating point
-    element case too.
+    - **Note:** PACKAGE NAME CHANGED TO `ndarray`. Having package != crate ran
+      into many quirks of various tools. Changing the package name is easier for
+      everyone involved!
+    - Optimized `scalar_sum()` so that it will vectorize for the floating point
+      element case too.
 
 - 0.2.0-alpha.7
 
-  - Optimized arithmetic operations!
+    - Optimized arithmetic operations!
 
-    - For c-contiguous arrays or arrays with c-contiguous lowest dimension
-      they optimize very well, and can vectorize!
+        - For c-contiguous arrays or arrays with c-contiguous lowest dimension
+          they optimize very well, and can vectorize!
 
-  - Add `.inner_iter()`, `.inner_iter_mut()`
-  - Add `.fold()`, `.zip_mut_with()`
-  - Add `.scalar_sum()`
-  - Add example `examples/life.rs`
+    - Add `.inner_iter()`, `.inner_iter_mut()`
+    - Add `.fold()`, `.zip_mut_with()`
+    - Add `.scalar_sum()`
+    - Add example `examples/life.rs`
 
 - 0.2.0-alpha.6
 
-  - Add `#[deprecated]` attributes (enabled with new enough nightly)
-  - Add `ArrayBase::linspace`, deprecate constructor `range`.
+    - Add `#[deprecated]` attributes (enabled with new enough nightly)
+    - Add `ArrayBase::linspace`, deprecate constructor `range`.
 
 - 0.2.0-alpha.5
 
-  - Add `s![...]`, a slice argument macro.
-  - Add `aview_mut1()`, `zeros()`
-  - Add `.diag_mut()` and deprecate `.diag_iter_mut()`, `.sub_iter_mut()`
-  - Add `.uget()`, `.uget_mut()` for unchecked indexing and deprecate the
-    old names.
-  - Improve `ArrayBase::from_elem`
-  - Removed `SliceRange`, replaced by `From` impls for `Si`.
+    - Add `s![...]`, a slice argument macro.
+    - Add `aview_mut1()`, `zeros()`
+    - Add `.diag_mut()` and deprecate `.diag_iter_mut()`, `.sub_iter_mut()`
+    - Add `.uget()`, `.uget_mut()` for unchecked indexing and deprecate the
+      old names.
+    - Improve `ArrayBase::from_elem`
+    - Removed `SliceRange`, replaced by `From` impls for `Si`.
 
 - 0.2.0-alpha.4
 
-  - Slicing methods like `.slice()` now take a fixed size array of `Si`
-    as the slice description. This allows more type checking to verify that the
-    number of axes is correct.
-  - Add experimental `rblas` integration.
-  - Add `into_shape()` which allows reshaping any array or view kind.
+    - Slicing methods like `.slice()` now take a fixed size array of `Si`
+      as the slice description. This allows more type checking to verify that the
+      number of axes is correct.
+    - Add experimental `rblas` integration.
+    - Add `into_shape()` which allows reshaping any array or view kind.
 
 - 0.2.0-alpha.3
 
-  - Add and edit a lot of documentation
+    - Add and edit a lot of documentation
 
 - 0.2.0-alpha.2
 
-  - Improve performance for iterators when the array data is in the default
-    memory layout. The iterator then wraps the default slice iterator and
-    loops will autovectorize.
-  - Remove method `.indexed()` on iterators. Changed `Indexed` and added
-    `ÌndexedMut`.
-  - Added `.as_slice(), .as_mut_slice()`
-  - Support rustc-serialize
+    - Improve performance for iterators when the array data is in the default
+      memory layout. The iterator then wraps the default slice iterator and
+      loops will autovectorize.
+    - Remove method `.indexed()` on iterators. Changed `Indexed` and added
+      `ÌndexedMut`.
+    - Added `.as_slice(), .as_mut_slice()`
+    - Support rustc-serialize
 
 
 - 0.2.0-alpha
 
-  - Alpha release!
-  - Introduce `ArrayBase`, `OwnedArray`, `ArrayView`, `ArrayViewMut`
-  - All arithmetic operations should accept any array type
-  - `Array` continues to refer to the default reference counted copy on write
-    array
-  - Add `.view()`, `.view_mut()`, `.to_owned()`, `.into_shared()`
-  - Add `.slice_mut()`, `.subview_mut()`
-  - Some operations now return `OwnedArray`:
+    - Alpha release!
+    - Introduce `ArrayBase`, `OwnedArray`, `ArrayView`, `ArrayViewMut`
+    - All arithmetic operations should accept any array type
+    - `Array` continues to refer to the default reference counted copy on write
+      array
+    - Add `.view()`, `.view_mut()`, `.to_owned()`, `.into_shared()`
+    - Add `.slice_mut()`, `.subview_mut()`
+    - Some operations now return `OwnedArray`:
 
-    - `.map()`
-    - `.sum()`
-    - `.mean()`
+        - `.map()`
+        - `.sum()`
+        - `.mean()`
 
-  - Add `get`, `get_mut` to replace the now deprecated `at`, `at_mut`.
-  - Fix bug in assign_scalar
+    - Add `get`, `get_mut` to replace the now deprecated `at`, `at_mut`.
+    - Fix bug in assign_scalar
 
 - 0.1.1
 
-  - Add Array::default
-  - Fix bug in raw_data_mut
+    - Add Array::default
+    - Fix bug in raw_data_mut
 
 - 0.1.0
 
-  - First release on crates.io
-  - Starting point for evolution to come
- 
+    - First release on crates.io
+    - Starting point for evolution to come
 
 [@adamreichold]: https://github.com/adamreichold
+
 [@aganders3]: https://github.com/aganders3
+
 [@bluss]: https://github.com/bluss
+
 [@jturner314]: https://github.com/jturner314
+
 [@LukeMathWalker]: https://github.com/LukeMathWalker
+
 [@acj]: https://github.com/acj
+
 [@adamreichold]: https://github.com/adamreichold
+
 [@atouchet]: https://github.com/atouchet
+
 [@andrei-papou]: https://github.com/andrei-papou
+
 [@benkay]: https://github.com/benkay
+
 [@cassiersg]: https://github.com/cassiersg
+
 [@chohner]: https://github.com/chohner
+
 [@dam5h]: https://github.com/dam5h
+
 [@ethanhs]: https://github.com/ethanhs
+
 [@d-dorazio]: https://github.com/d-dorazio
+
 [@Eijebong]: https://github.com/Eijebong
+
 [@HyeokSuLee]: https://github.com/HyeokSuLee
+
 [@insideoutclub]: https://github.com/insideoutclub
+
 [@JP-Ellis]: https://github.com/JP-Ellis
+
 [@jimblandy]: https://github.com/jimblandy
+
 [@LeSeulArtichaut]: https://github.com/LeSeulArtichaut
+
 [@lifuyang]: https://github.com/liufuyang
+
 [@kdubovikov]: https://github.com/kdubovikov
+
 [@makotokato]: https://github.com/makotokato
+
 [@max-sixty]: https://github.com/max-sixty
+
 [@mneumann]: https://github.com/mneumann
+
 [@mockersf]: https://github.com/mockersf
+
 [@nilgoyette]: https://github.com/nilgoyette
+
 [@nitsky]: https://github.com/nitsky
+
 [@Rikorose]: https://github.com/Rikorose
+
 [@rth]: https://github.com/rth
+
 [@sebasv]: https://github.com/sebasv
+
 [@SparrowLii]: https://github.com/SparrowLii
+
 [@steffahn]: https://github.com/steffahn
+
 [@stokhos]: https://github.com/stokhos
+
 [@termoshtt]: https://github.com/termoshtt
+
 [@TheLortex]: https://github.com/TheLortex
+
 [@viniciusd]: https://github.com/viniciusd
+
 [@VasanthakumarV]: https://github.com/VasanthakumarV
+
 [@xd009642]: https://github.com/xd009642
+
 [@Zuse64]: https://github.com/Zuse64
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index 57c429546..67e7439b2 100644
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diff --git a/ndarray-rand/README.md b/ndarray-rand/README.md
index 0109e9732..e7f42d95a 100644
--- a/ndarray-rand/README.md
+++ b/ndarray-rand/README.md
@@ -28,8 +28,8 @@ Dependencies
 
 ``ndarray-rand`` depends on ``rand``.
 
-[`rand`](https://docs.rs/rand/) and [`rand-distr`](https://docs.rs/rand_distr/) are 
-re-exported as sub-modules, `ndarray_rand::rand` and `ndarray_rand::rand_distr` respectively. 
+[`rand`](https://docs.rs/rand/) and [`rand-distr`](https://docs.rs/rand_distr/) are
+re-exported as sub-modules, `ndarray_rand::rand` and `ndarray_rand::rand_distr` respectively.
 Please rely on these submodules for guaranteed version compatibility.
 
 If you want to use a random number generator or distribution from another crate
@@ -41,7 +41,7 @@ necessary trait).
 Recent changes
 ==============
 
-Check _[RELEASES.md](https://github.com/rust-ndarray/ndarray/blob/master/ndarray-rand/RELEASES.md)_ to see 
+Check _[RELEASES.md](https://github.com/rust-ndarray/ndarray/blob/master/ndarray-rand/RELEASES.md)_ to see
 the changes introduced in previous releases.
 
 
diff --git a/ndarray-rand/RELEASES.md b/ndarray-rand/RELEASES.md
index 8d7586fbe..1557e1ddc 100644
--- a/ndarray-rand/RELEASES.md
+++ b/ndarray-rand/RELEASES.md
@@ -3,73 +3,73 @@ Recent Changes
 
 - 0.14.0
 
-  - Require ndarray 0.15
-  - Require rand 0.8 (unchanged from previous version)
-  - The F32 wrapper is now deprecated, it's redundant
+    - Require ndarray 0.15
+    - Require rand 0.8 (unchanged from previous version)
+    - The F32 wrapper is now deprecated, it's redundant
 
 - 0.13.0
 
-  - Require ndarray 0.14 (unchanged from previous version)
-  - Require rand 0.8
-  - Require rand_distr 0.4
-  - Fix methods `sample_axis` and `sample_axis_using` so that they can be used on array views too.
+    - Require ndarray 0.14 (unchanged from previous version)
+    - Require rand 0.8
+    - Require rand_distr 0.4
+    - Fix methods `sample_axis` and `sample_axis_using` so that they can be used on array views too.
 
 - 0.12.0
 
-  - Require ndarray 0.14
-  - Require rand 0.7 (unchanged from previous version)
-  - Require rand_distr 0.3
+    - Require ndarray 0.14
+    - Require rand 0.7 (unchanged from previous version)
+    - Require rand_distr 0.3
 
 - 0.11.0
 
-  - Require ndarray 0.13
-  - Require rand 0.7 (unchanged from previous version)
+    - Require ndarray 0.13
+    - Require rand 0.7 (unchanged from previous version)
 
 - 0.10.0
 
-  - Require `rand` 0.7
-  - Require Rust 1.32 or later
-  - Re-export `rand` as a submodule, `ndarray_rand::rand`
-  - Re-export `rand-distr` as a submodule, `ndarray_rand::rand_distr`
+    - Require `rand` 0.7
+    - Require Rust 1.32 or later
+    - Re-export `rand` as a submodule, `ndarray_rand::rand`
+    - Re-export `rand-distr` as a submodule, `ndarray_rand::rand_distr`
 
 - 0.9.0
 
-  - Require rand 0.6
+    - Require rand 0.6
 
 - 0.8.0
 
-  - Require ndarray 0.12
-  - Require rand 0.5
+    - Require ndarray 0.12
+    - Require rand 0.5
 
 - 0.7.0
 
-  - Require ndarray 0.11
-  - Require rand 0.4
+    - Require ndarray 0.11
+    - Require rand 0.4
 
 - 0.6.1
 
-  - Clean up implementation of ``Array::random`` by @v-shmyhlo
+    - Clean up implementation of ``Array::random`` by @v-shmyhlo
 
 - 0.6.0
 
-  - Require ndarray 0.10.0
+    - Require ndarray 0.10.0
 
 - 0.5.0
 
-  - Require ndarray 0.9
+    - Require ndarray 0.9
 
 - 0.4.0
 
-  - Require ndarray 0.8
+    - Require ndarray 0.8
 
 - 0.3.0
 
-  - Require ndarray 0.7
+    - Require ndarray 0.7
 
 - 0.2.0
 
-  - Require ndarray 0.6
+    - Require ndarray 0.6
 
 - 0.1.0
 
-  - Initial release
+    - Initial release
diff --git a/scripts/all-tests.sh b/scripts/all-tests.sh
index cbea6dba7..569f84c36 100755
--- a/scripts/all-tests.sh
+++ b/scripts/all-tests.sh
@@ -6,7 +6,7 @@ set -e
 FEATURES=$1
 CHANNEL=$2
 
-if [ "$CHANNEL" = "1.57.0" ]; then
+if [ "$CHANNEL" = "1.63.0" ]; then
     cargo update --package openblas-src --precise 0.10.5
     cargo update --package openblas-build --precise 0.10.5
     cargo update --package once_cell --precise 1.14.0
@@ -21,21 +21,46 @@ if [ "$CHANNEL" = "1.57.0" ]; then
     cargo update --package serde_json --precise 1.0.99
     cargo update --package serde --precise 1.0.156
     cargo update --package thiserror --precise 1.0.39
-    cargo update --package quote --precise 1.0.30
-    cargo update --package proc-macro2 --precise 1.0.65
+    cargo update --package quote --precise 1.0.35
+    cargo update --package proc-macro2 --precise 1.0.79
+    cargo update --package regex --precise 1.9.6
+    cargo update --package home --precise 0.5.5
+    cargo update --package which --precise 4.4.2
+    cargo update --package rustix --precise 0.38.23
+    cargo update --package memchr --precise 2.6.2
 fi
 
 cargo build --verbose --no-default-features
+
 # Testing both dev and release profiles helps find bugs, especially in low level code
 cargo test --verbose --no-default-features
 cargo test --release --verbose --no-default-features
+
 cargo build --verbose --features "$FEATURES"
 cargo test --verbose --features "$FEATURES"
+
+cargo build --release --verbose --features "$FEATURES"
+cargo test --release --verbose --features "$FEATURES"
+
 cargo test --manifest-path=ndarray-rand/Cargo.toml --no-default-features --verbose
+cargo test --release --manifest-path=ndarray-rand/Cargo.toml --no-default-features --verbose
+
 cargo test --manifest-path=ndarray-rand/Cargo.toml --features quickcheck --verbose
+cargo test --release --manifest-path=ndarray-rand/Cargo.toml --features quickcheck --verbose
+
 cargo test --manifest-path=xtest-serialization/Cargo.toml --verbose
+cargo test --release --manifest-path=xtest-serialization/Cargo.toml --verbose
+
 cargo test --manifest-path=xtest-blas/Cargo.toml --verbose --features openblas-system
+cargo test --release --manifest-path=xtest-blas/Cargo.toml --verbose --features openblas-system
+
 cargo test --examples
+cargo test --release --examples
+
 cargo test --manifest-path=xtest-numeric/Cargo.toml --verbose
+cargo test --release --manifest-path=xtest-numeric/Cargo.toml --verbose
+
 cargo test --manifest-path=xtest-numeric/Cargo.toml --verbose --features test_blas
+cargo test --release --manifest-path=xtest-numeric/Cargo.toml --verbose --features test_blas
+
 ([ "$CHANNEL" != "nightly" ] || cargo bench --no-run --verbose --features "$FEATURES")
diff --git a/src/arrayformat.rs b/src/arrayformat.rs
index 202805604..7089c48c7 100644
--- a/src/arrayformat.rs
+++ b/src/arrayformat.rs
@@ -5,7 +5,7 @@
 // <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
 // option. This file may not be copied, modified, or distributed
 // except according to those terms.
-use super::{ArrayBase, ArrayView, Axis, Data, Dimension, NdProducer};
+use super::{ArrayBase, ArrayView, Axis, Data, Device, Dimension, NdProducer};
 use crate::aliases::{Ix1, IxDyn};
 use alloc::format;
 use std::fmt;
@@ -122,6 +122,7 @@ where
 {
     // Cast into a dynamically dimensioned view
     // This is required to be able to use `index_axis` for the recursive case
+    assert_eq!(array.device(), Device::Host, "Cannot print an array that is not on the Host.");
     format_array_inner(array.view().into_dyn(), f, format, fmt_opt, 0, array.ndim())
 }
 
diff --git a/src/data_repr.rs b/src/data_repr.rs
index c64cbcfcf..cb57d81f3 100644
--- a/src/data_repr.rs
+++ b/src/data_repr.rs
@@ -1,3 +1,5 @@
+#![warn(clippy::pedantic, clippy::nursery)]
+
 use crate::extension::nonnull;
 #[cfg(not(feature = "std"))]
 use alloc::borrow::ToOwned;
@@ -10,6 +12,16 @@ use std::ptr::NonNull;
 
 use rawpointer::PointerExt;
 
+#[derive(Copy, Clone, Debug, PartialEq, Eq)]
+pub enum Device
+{
+    Host,
+    #[cfg(feature = "opencl")]
+    OpenCL,
+    #[cfg(feature = "cuda")]
+    CUDA,
+}
+
 /// Array's representation.
 ///
 /// *Don’t use this type directly—use the type alias
@@ -25,6 +37,7 @@ pub struct OwnedRepr<A>
     ptr: NonNull<A>,
     len: usize,
     capacity: usize,
+    device: Device,
 }
 
 impl<A> OwnedRepr<A>
@@ -35,40 +48,239 @@ impl<A> OwnedRepr<A>
         let len = v.len();
         let capacity = v.capacity();
         let ptr = nonnull::nonnull_from_vec_data(&mut v);
-        Self { ptr, len, capacity }
+        let device = Device::Host;
+        Self {
+            ptr,
+            len,
+            capacity,
+            device,
+        }
+    }
+
+    pub(crate) const fn device(&self) -> Device
+    {
+        self.device
+    }
+
+    pub(crate) const unsafe fn from_components(ptr: NonNull<A>, len: usize, capacity: usize, device: Device) -> Self
+    {
+        Self {
+            ptr,
+            len,
+            capacity,
+            device,
+        }
+    }
+
+    /// Move this storage object to a specified device.
+    #[allow(clippy::unnecessary_wraps)]
+    pub(crate) fn move_to_device(self, device: Device) -> Option<Self>
+    {
+        // println!("Copying to {device:?}");
+        // let mut self_ = ManuallyDrop::new(self);
+        // self_.device = device;
+
+        match (self.device, device) {
+            (Device::Host, Device::Host) => {
+                // println!("Copying to Host");
+                Some(self)
+            }
+
+            #[cfg(feature = "opencl")]
+            (Device::Host, Device::OpenCL) => {
+                let len = self.len;
+                let capacity = self.capacity;
+                let bytes = std::mem::size_of::<A>() * capacity;
+
+                unsafe {
+                    if let Ok(buffer) =
+                        hasty_::opencl::opencl_allocate(bytes, hasty_::opencl::OpenCLMemoryType::ReadWrite)
+                    {
+                        // println!("Allocated OpenCL Buffer");
+                        if let Ok(_) =
+                            hasty_::opencl::opencl_write(buffer, self.ptr.as_ptr() as *const std::ffi::c_void, bytes)
+                        {
+                            // println!("Wrote to OpenCL Buffer");
+
+                            Some(Self {
+                                ptr: NonNull::new(buffer as *mut A)?,
+                                len,
+                                capacity,
+                                device,
+                            })
+                        } else {
+                            // println!("Failed to write to OpenCL Buffer");
+                            None
+                        }
+                    } else {
+                        // println!("Failed to allocate OpenCL Buffer");
+                        None
+                    }
+                }
+            }
+
+            #[cfg(feature = "opencl")]
+            (Device::OpenCL, Device::Host) => {
+                let len = self.len;
+                let capacity = self.capacity;
+                let bytes = std::mem::size_of::<A>() * capacity;
+
+                unsafe {
+                    let mut data = ManuallyDrop::new(Vec::<A>::with_capacity(self.capacity));
+                    data.set_len(self.len);
+                    if let Ok(_) = hasty_::opencl::opencl_read(
+                        data.as_mut_ptr() as *mut std::ffi::c_void,
+                        self.ptr.as_ptr() as *mut std::ffi::c_void,
+                        bytes,
+                    ) {
+                        Some(Self {
+                            ptr: nonnull::nonnull_from_vec_data(&mut data),
+                            len,
+                            capacity,
+                            device,
+                        })
+                    } else {
+                        None
+                    }
+                }
+            }
+
+            #[cfg(feature = "opencl")]
+            (Device::OpenCL, Device::OpenCL) => {
+                todo!();
+            }
+
+            #[cfg(feature = "cuda")]
+            (Device::Host, Device::CUDA) => {
+                todo!();
+            }
+
+            #[cfg(feature = "cuda")]
+            (Device::CUDA, Device::Host) => {
+                todo!();
+            }
+
+            #[cfg(feature = "cuda")]
+            (Device::CUDA, Device::CUDA) => {
+                todo!();
+            }
+
+            #[cfg(all(feature = "opencl", feature = "cuda"))]
+            (Device::OpenCL, Device::CUDA) => {
+                todo!();
+            }
+
+            #[cfg(all(feature = "opencl", feature = "cuda"))]
+            (Device::CUDA, Device::OpenCL) => {
+                todo!();
+            }
+        }
+    }
+
+    /// Drop the object and free the memory
+    pub(crate) unsafe fn drop_impl(&mut self) -> Vec<A>
+    {
+        let capacity = self.capacity;
+        let len = self.len;
+        self.len = 0;
+        self.capacity = 0;
+        let ptr = self.ptr.as_ptr();
+
+        match self.device {
+            Device::Host => {
+                // println!("Dropping Host pointer");
+                Vec::from_raw_parts(ptr, len, capacity)
+            }
+
+            #[cfg(feature = "opencl")]
+            Device::OpenCL => {
+                // Free `ptr`
+                // println!("Freeing OpenCL pointer");
+
+                hasty_::opencl::opencl_free(ptr as *mut std::ffi::c_void);
+
+                // Should be optimised out, since nothing is allocated
+                Vec::new()
+            }
+
+            #[cfg(feature = "cuda")]
+            Device::CUDA => {
+                // Free `ptr`
+                println!("Freeing CUDA pointer");
+                Vec::new()
+            }
+        }
     }
 
+    /// Convert `self` into a [Vec].
+    ///
+    /// # Panics
+    /// Will panic if the underlying memory is not allocated on
+    /// the host device.
     pub(crate) fn into_vec(self) -> Vec<A>
     {
+        // Creating a Vec requires the data to be on the host device
+        assert_eq!(self.device, Device::Host);
         ManuallyDrop::new(self).take_as_vec()
     }
 
+    /// Get a slice representation of `self`.
+    ///
+    /// # Panics
+    /// Will panic if the underlying memory is not allocated
+    /// on the host device.
     pub(crate) fn as_slice(&self) -> &[A]
     {
+        // Cannot create a slice of a device pointer
+        debug_assert_eq!(self.device, Device::Host, "Cannot create a slice of a device pointer");
+
         unsafe { slice::from_raw_parts(self.ptr.as_ptr(), self.len) }
     }
 
-    pub(crate) fn len(&self) -> usize
+    pub(crate) const fn len(&self) -> usize
     {
         self.len
     }
 
-    pub(crate) fn as_ptr(&self) -> *const A
+    /// Extract the raw underlying pointer from this object.
+    ///
+    /// ## Safety
+    /// The pointer **may not necessarily point to the host**.
+    /// Using a non-host pointer on the host will almost certainly
+    /// cause a segmentation-fault.
+    pub(crate) const fn as_ptr(&self) -> *const A
     {
         self.ptr.as_ptr()
     }
 
-    pub(crate) fn as_ptr_mut(&self) -> *mut A
+    /// Extract the raw underlying pointer from this object as mut
+    ///
+    /// ## Safety
+    /// The pointer **may not necessarily point to the host**.
+    /// Using a non-host pointer on the host will almost certainly
+    /// cause a segmentation-fault.
+    pub(crate) const fn as_ptr_mut(&self) -> *mut A
     {
         self.ptr.as_ptr()
     }
 
+    /// Return underlying [`NonNull`] ptr.
+    ///
+    /// ## Safety
+    /// The pointer **may not necessarily point to the host**.
+    /// Using a non-host pointer on the host will almost certainly
+    /// cause a segmentation-fault.
     pub(crate) fn as_nonnull_mut(&mut self) -> NonNull<A>
     {
         self.ptr
     }
 
     /// Return end pointer
+    ///
+    /// ## Safety
+    /// The pointer **may not necessarily point to the host**.
+    /// Using a non-host pointer on the host will almost certainly
+    /// cause a segmentation-fault.
     pub(crate) fn as_end_nonnull(&self) -> NonNull<A>
     {
         unsafe { self.ptr.add(self.len) }
@@ -77,7 +289,6 @@ impl<A> OwnedRepr<A>
     /// Reserve `additional` elements; return the new pointer
     ///
     /// ## Safety
-    ///
     /// Note that existing pointers into the data are invalidated
     #[must_use = "must use new pointer to update existing pointers"]
     pub(crate) fn reserve(&mut self, additional: usize) -> NonNull<A>
@@ -92,7 +303,6 @@ impl<A> OwnedRepr<A>
     /// Set the valid length of the data
     ///
     /// ## Safety
-    ///
     /// The first `new_len` elements of the data should be valid.
     pub(crate) unsafe fn set_len(&mut self, new_len: usize)
     {
@@ -100,7 +310,10 @@ impl<A> OwnedRepr<A>
         self.len = new_len;
     }
 
-    /// Return the length (number of elements in total)
+    /// Return the length (number of elements in total) and set
+    /// the internal length to zero.
+    ///
+    /// todo: Is this valid/safe? Mark as unsafe?
     pub(crate) fn release_all_elements(&mut self) -> usize
     {
         let ret = self.len;
@@ -111,7 +324,6 @@ impl<A> OwnedRepr<A>
     /// Cast self into equivalent repr of other element type
     ///
     /// ## Safety
-    ///
     /// Caller must ensure the two types have the same representation.
     /// **Panics** if sizes don't match (which is not a sufficient check).
     pub(crate) unsafe fn data_subst<B>(self) -> OwnedRepr<B>
@@ -123,17 +335,25 @@ impl<A> OwnedRepr<A>
             ptr: self_.ptr.cast::<B>(),
             len: self_.len,
             capacity: self_.capacity,
+            device: self_.device,
         }
     }
 
+    /// Apply a `f(Vec<A>) -> Vec<A>` to this storage object and update `self`.
     fn modify_as_vec(&mut self, f: impl FnOnce(Vec<A>) -> Vec<A>)
     {
         let v = self.take_as_vec();
         *self = Self::from(f(v));
     }
 
+    /// Take `self` as a `Vec` object. This invalidates `self`.
+    ///
+    /// # Panics
+    /// Will panic if the underlying memory is not allocated
+    /// on the host device.
     fn take_as_vec(&mut self) -> Vec<A>
     {
+        assert_eq!(self.device, Device::Host);
         let capacity = self.capacity;
         let len = self.len;
         self.len = 0;
@@ -147,21 +367,96 @@ where A: Clone
 {
     fn clone(&self) -> Self
     {
-        Self::from(self.as_slice().to_owned())
+        match self.device {
+            Device::Host => Self::from(self.as_slice().to_owned()),
+
+            #[cfg(feature = "opencl")]
+            Device::OpenCL => {
+                println!("Performing OpenCL Clone");
+                unsafe {
+                    // Allocate new buffer
+                    let bytes = std::mem::size_of::<A>() * self.len();
+
+                    match hasty_::opencl::opencl_allocate(bytes, hasty_::opencl::OpenCLMemoryType::ReadWrite) {
+                        Ok(buffer_ptr) => {
+                            if let Err(err_code) =
+                                hasty_::opencl::opencl_copy(buffer_ptr, self.as_ptr() as *const std::ffi::c_void, bytes)
+                            {
+                                panic!("Failed to copy to OpenCL buffer. Exited with status: {:?}", err_code);
+                            }
+
+                            Self {
+                                ptr: NonNull::new(buffer_ptr as *mut A).unwrap(),
+                                len: self.len,
+                                capacity: self.capacity,
+                                device: self.device,
+                            }
+                        }
+
+                        Err(err_code) => {
+                            panic!("Failed to clone OpenCL buffer. Exited with status: {:?}", err_code);
+                        }
+                    }
+                }
+            }
+
+            #[cfg(feature = "cuda")]
+            Device::CUDA => {
+                println!("Performing CUDA Clone");
+                // todo: CUDA clone
+                Self::from(self.as_slice().to_owned())
+            }
+        }
     }
 
     fn clone_from(&mut self, other: &Self)
     {
-        let mut v = self.take_as_vec();
-        let other = other.as_slice();
+        match self.device {
+            Device::Host => {
+                let mut v = self.take_as_vec();
+                let other = other.as_slice();
+
+                if v.len() > other.len() {
+                    v.truncate(other.len());
+                }
+                let (front, back) = other.split_at(v.len());
+                v.clone_from_slice(front);
+                v.extend_from_slice(back);
+                *self = Self::from(v);
+            }
 
-        if v.len() > other.len() {
-            v.truncate(other.len());
+            #[cfg(feature = "opencl")]
+            Device::OpenCL => {
+                println!("Performing OpenCL Clone From");
+                // todo: OpenCL clone from
+                let mut v = self.take_as_vec();
+                let other = other.as_slice();
+
+                if v.len() > other.len() {
+                    v.truncate(other.len());
+                }
+                let (front, back) = other.split_at(v.len());
+                v.clone_from_slice(front);
+                v.extend_from_slice(back);
+                *self = Self::from(v);
+            }
+
+            #[cfg(feature = "cuda")]
+            Device::CUDA => {
+                println!("Performing CUDA Clone From");
+                // todo: CUDA clone from
+                let mut v = self.take_as_vec();
+                let other = other.as_slice();
+
+                if v.len() > other.len() {
+                    v.truncate(other.len());
+                }
+                let (front, back) = other.split_at(v.len());
+                v.clone_from_slice(front);
+                v.extend_from_slice(back);
+                *self = Self::from(v);
+            }
         }
-        let (front, back) = other.split_at(v.len());
-        v.clone_from_slice(front);
-        v.extend_from_slice(back);
-        *self = Self::from(v);
     }
 }
 
@@ -183,7 +478,7 @@ impl<A> Drop for OwnedRepr<A>
                 self.len = 0;
             }
             // drop as a Vec.
-            self.take_as_vec();
+            unsafe { self.drop_impl() };
         }
     }
 }
diff --git a/src/data_traits.rs b/src/data_traits.rs
index a2784b8d3..93cb7e34d 100644
--- a/src/data_traits.rs
+++ b/src/data_traits.rs
@@ -8,8 +8,6 @@
 
 //! The data (inner representation) traits for ndarray
 
-use rawpointer::PointerExt;
-
 use alloc::sync::Arc;
 #[cfg(not(feature = "std"))]
 use alloc::vec::Vec;
@@ -17,7 +15,9 @@ use std::mem::MaybeUninit;
 use std::mem::{self, size_of};
 use std::ptr::NonNull;
 
-use crate::{ArcArray, Array, ArrayBase, CowRepr, Dimension, OwnedArcRepr, OwnedRepr, RawViewRepr, ViewRepr};
+use rawpointer::PointerExt;
+
+use crate::{ArcArray, Array, ArrayBase, CowRepr, Device, Dimension, OwnedArcRepr, OwnedRepr, RawViewRepr, ViewRepr};
 
 /// Array representation trait.
 ///
@@ -42,6 +42,12 @@ pub unsafe trait RawData: Sized
     #[doc(hidden)]
     fn _is_pointer_inbounds(&self, ptr: *const Self::Elem) -> bool;
 
+    #[doc(hidden)]
+    fn _device(&self) -> Option<Device>
+    {
+        None
+    }
+
     private_decl! {}
 }
 
@@ -354,10 +360,21 @@ unsafe impl<A> RawData for OwnedRepr<A>
 
     fn _is_pointer_inbounds(&self, self_ptr: *const Self::Elem) -> bool
     {
-        let slc = self.as_slice();
-        let ptr = slc.as_ptr() as *mut A;
-        let end = unsafe { ptr.add(slc.len()) };
-        self_ptr >= ptr && self_ptr <= end
+        // let slc = self.as_slice();
+        // let ptr = slc.as_ptr() as *mut A;
+        // let end = unsafe { ptr.add(slc.len()) };
+        // self_ptr >= ptr && self_ptr <= end
+
+        // Instead of using a slice, we just get the raw pointer. This assumes that `self.len()`
+        // is correct, but since this is internally managed, it's safe to assume it is
+        let ptr = self.as_ptr();
+        let end = unsafe { ptr.add(self.len()) };
+        ptr <= self_ptr && self_ptr <= end
+    }
+
+    fn _device(&self) -> Option<Device>
+    {
+        Some(self.device())
     }
 
     private_impl! {}
diff --git a/src/impl_constructors.rs b/src/impl_constructors.rs
index e5f19a837..cdce67e4c 100644
--- a/src/impl_constructors.rs
+++ b/src/impl_constructors.rs
@@ -625,6 +625,16 @@ where
         array
     }
 
+    pub(crate) const unsafe fn from_parts(data: S, ptr: std::ptr::NonNull<S::Elem>, dim: D, strides: D) -> Self
+    {
+        Self {
+            data,
+            ptr,
+            dim,
+            strides,
+        }
+    }
+
     #[deprecated(
         note = "This method is hard to use correctly. Use `uninit` instead.",
         since = "0.15.0"
diff --git a/src/impl_methods.rs b/src/impl_methods.rs
index d1250ec28..17720ccbc 100644
--- a/src/impl_methods.rs
+++ b/src/impl_methods.rs
@@ -16,6 +16,7 @@ use std::mem::{size_of, ManuallyDrop};
 use crate::imp_prelude::*;
 
 use crate::argument_traits::AssignElem;
+use crate::data_repr::{Device, OwnedRepr};
 use crate::dimension;
 use crate::dimension::broadcast::co_broadcast;
 use crate::dimension::reshape_dim;
@@ -122,6 +123,11 @@ where
         self.dim.clone()
     }
 
+    pub fn raw_strides(&self) -> D
+    {
+        self.strides.clone()
+    }
+
     /// Return the shape of the array as a slice.
     ///
     /// Note that you probably don't want to use this to create an array of the
@@ -3045,6 +3051,13 @@ where
             f(&*prev, &mut *curr)
         });
     }
+
+    pub fn device(&self) -> Device
+    {
+        // If a device is returned, use that. Otherwise, it's fairly safe to
+        // assume that the data is on the host.
+        self.data._device().unwrap_or(Device::Host)
+    }
 }
 
 /// Transmute from A to B.
@@ -3064,3 +3077,26 @@ unsafe fn unlimited_transmute<A, B>(data: A) -> B
 }
 
 type DimMaxOf<A, B> = <A as DimMax<B>>::Output;
+
+impl<A, D> ArrayBase<OwnedRepr<A>, D>
+// where A: std::fmt::Debug
+{
+    // pub fn device(&self) -> Device {
+    //     self.data.device()
+    // }
+
+    pub fn move_to_device(self, device: Device) -> Option<Self>
+    {
+        let dim = self.dim;
+        let strides = self.strides;
+        let data = self.data.move_to_device(device)?;
+        let ptr = std::ptr::NonNull::new(data.as_ptr() as *mut A).unwrap();
+
+        Some(Self {
+            data,
+            ptr,
+            dim,
+            strides,
+        })
+    }
+}
diff --git a/src/impl_ops.rs b/src/impl_ops.rs
index 46ea18a7c..8d1798080 100644
--- a/src/impl_ops.rs
+++ b/src/impl_ops.rs
@@ -7,6 +7,9 @@
 // except according to those terms.
 
 use crate::dimension::DimMax;
+use crate::Device;
+use crate::Layout;
+use crate::OwnedRepr;
 use crate::Zip;
 use num_complex::Complex;
 
@@ -50,10 +53,28 @@ impl ScalarOperand for f64 {}
 impl ScalarOperand for Complex<f32> {}
 impl ScalarOperand for Complex<f64> {}
 
+macro_rules! device_check_assert(
+    ($self:expr, $rhs:expr) => {
+        debug_assert_eq!($self.device(), $rhs.device(),
+            "Cannot perform operation on arrays on different devices. \
+            Please move them to the same device first.");
+    }
+);
+
+// Pick the expression $a for commutative and $b for ordered binop
+macro_rules! if_commutative {
+    (Commute { $a:expr } or { $b:expr }) => {
+        $a
+    };
+    (Ordered { $a:expr } or { $b:expr }) => {
+        $b
+    };
+}
+
 macro_rules! impl_binary_op(
-    ($trt:ident, $operator:tt, $mth:ident, $iop:tt, $doc:expr) => (
+    ($rs_trait:ident, $operator:tt, $math_op:ident, $inplace_op:tt, $docstring:expr) => (
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between `self` and `rhs`,
 /// and return the result.
 ///
@@ -62,9 +83,9 @@ macro_rules! impl_binary_op(
 /// If their shapes disagree, `self` is broadcast to their broadcast shape.
 ///
 /// **Panics** if broadcasting isn’t possible.
-impl<A, B, S, S2, D, E> $trt<ArrayBase<S2, E>> for ArrayBase<S, D>
+impl<A, B, S, S2, D, E> $rs_trait<ArrayBase<S2, E>> for ArrayBase<S, D>
 where
-    A: Clone + $trt<B, Output=A>,
+    A: Clone + $rs_trait<B, Output=A>,
     B: Clone,
     S: DataOwned<Elem=A> + DataMut,
     S2: Data<Elem=B>,
@@ -73,14 +94,15 @@ where
 {
     type Output = ArrayBase<S, <D as DimMax<E>>::Output>;
     #[track_caller]
-    fn $mth(self, rhs: ArrayBase<S2, E>) -> Self::Output
+    fn $math_op(self, rhs: ArrayBase<S2, E>) -> Self::Output
     {
-        self.$mth(&rhs)
+        device_check_assert!(self, rhs);
+        self.$math_op(&rhs)
     }
 }
 
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between `self` and reference `rhs`,
 /// and return the result.
 ///
@@ -90,9 +112,9 @@ where
 /// cloning the data if needed.
 ///
 /// **Panics** if broadcasting isn’t possible.
-impl<'a, A, B, S, S2, D, E> $trt<&'a ArrayBase<S2, E>> for ArrayBase<S, D>
+impl<'a, A, B, S, S2, D, E> $rs_trait<&'a ArrayBase<S2, E>> for ArrayBase<S, D>
 where
-    A: Clone + $trt<B, Output=A>,
+    A: Clone + $rs_trait<B, Output=A>,
     B: Clone,
     S: DataOwned<Elem=A> + DataMut,
     S2: Data<Elem=B>,
@@ -101,27 +123,29 @@ where
 {
     type Output = ArrayBase<S, <D as DimMax<E>>::Output>;
     #[track_caller]
-    fn $mth(self, rhs: &ArrayBase<S2, E>) -> Self::Output
+    fn $math_op(self, rhs: &ArrayBase<S2, E>) -> Self::Output
     {
+        device_check_assert!(self, rhs);
+
         if self.ndim() == rhs.ndim() && self.shape() == rhs.shape() {
             let mut out = self.into_dimensionality::<<D as DimMax<E>>::Output>().unwrap();
-            out.zip_mut_with_same_shape(rhs, clone_iopf(A::$mth));
+            out.zip_mut_with_same_shape(rhs, clone_iopf(A::$math_op));
             out
         } else {
             let (lhs_view, rhs_view) = self.broadcast_with(&rhs).unwrap();
             if lhs_view.shape() == self.shape() {
                 let mut out = self.into_dimensionality::<<D as DimMax<E>>::Output>().unwrap();
-                out.zip_mut_with_same_shape(&rhs_view, clone_iopf(A::$mth));
+                out.zip_mut_with_same_shape(&rhs_view, clone_iopf(A::$math_op));
                 out
             } else {
-                Zip::from(&lhs_view).and(&rhs_view).map_collect_owned(clone_opf(A::$mth))
+                Zip::from(&lhs_view).and(&rhs_view).map_collect_owned(clone_opf(A::$math_op))
             }
         }
     }
 }
 
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between reference `self` and `rhs`,
 /// and return the result.
 ///
@@ -131,9 +155,9 @@ where
 /// cloning the data if needed.
 ///
 /// **Panics** if broadcasting isn’t possible.
-impl<'a, A, B, S, S2, D, E> $trt<ArrayBase<S2, E>> for &'a ArrayBase<S, D>
+impl<'a, A, B, S, S2, D, E> $rs_trait<ArrayBase<S2, E>> for &'a ArrayBase<S, D>
 where
-    A: Clone + $trt<B, Output=B>,
+    A: Clone + $rs_trait<B, Output=B>,
     B: Clone,
     S: Data<Elem=A>,
     S2: DataOwned<Elem=B> + DataMut,
@@ -142,28 +166,30 @@ where
 {
     type Output = ArrayBase<S2, <E as DimMax<D>>::Output>;
     #[track_caller]
-    fn $mth(self, rhs: ArrayBase<S2, E>) -> Self::Output
-    where
+    fn $math_op(self, rhs: ArrayBase<S2, E>) -> Self::Output
+    // where
     {
+        device_check_assert!(self, rhs);
+
         if self.ndim() == rhs.ndim() && self.shape() == rhs.shape() {
             let mut out = rhs.into_dimensionality::<<E as DimMax<D>>::Output>().unwrap();
-            out.zip_mut_with_same_shape(self, clone_iopf_rev(A::$mth));
+            out.zip_mut_with_same_shape(self, clone_iopf_rev(A::$math_op));
             out
         } else {
             let (rhs_view, lhs_view) = rhs.broadcast_with(self).unwrap();
             if rhs_view.shape() == rhs.shape() {
                 let mut out = rhs.into_dimensionality::<<E as DimMax<D>>::Output>().unwrap();
-                out.zip_mut_with_same_shape(&lhs_view, clone_iopf_rev(A::$mth));
+                out.zip_mut_with_same_shape(&lhs_view, clone_iopf_rev(A::$math_op));
                 out
             } else {
-                Zip::from(&lhs_view).and(&rhs_view).map_collect_owned(clone_opf(A::$mth))
+                Zip::from(&lhs_view).and(&rhs_view).map_collect_owned(clone_opf(A::$math_op))
             }
         }
     }
 }
 
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between references `self` and `rhs`,
 /// and return the result as a new `Array`.
 ///
@@ -171,9 +197,9 @@ where
 /// cloning the data if needed.
 ///
 /// **Panics** if broadcasting isn’t possible.
-impl<'a, A, B, S, S2, D, E> $trt<&'a ArrayBase<S2, E>> for &'a ArrayBase<S, D>
+impl<'a, A, B, S, S2, D, E> $rs_trait<&'a ArrayBase<S2, E>> for &'a ArrayBase<S, D>
 where
-    A: Clone + $trt<B, Output=A>,
+    A: Clone + $rs_trait<B, Output=A> + std::fmt::Debug,
     B: Clone,
     S: Data<Elem=A>,
     S2: Data<Elem=B>,
@@ -182,7 +208,9 @@ where
 {
     type Output = Array<A, <D as DimMax<E>>::Output>;
     #[track_caller]
-    fn $mth(self, rhs: &'a ArrayBase<S2, E>) -> Self::Output {
+    fn $math_op(self, rhs: &'a ArrayBase<S2, E>) -> Self::Output {
+        device_check_assert!(self, rhs);
+
         let (lhs, rhs) = if self.ndim() == rhs.ndim() && self.shape() == rhs.shape() {
             let lhs = self.view().into_dimensionality::<<D as DimMax<E>>::Output>().unwrap();
             let rhs = rhs.view().into_dimensionality::<<D as DimMax<E>>::Output>().unwrap();
@@ -190,24 +218,115 @@ where
         } else {
             self.broadcast_with(rhs).unwrap()
         };
-        Zip::from(lhs).and(rhs).map_collect(clone_opf(A::$mth))
+
+        match self.device() {
+            Device::Host => {
+                Zip::from(lhs).and(rhs).map_collect(clone_opf(A::$math_op))
+            }
+
+            #[cfg(feature = "opencl")]
+            Device::OpenCL => {
+                if lhs.raw_dim().ndim() == 0 && rhs.raw_dim().ndim() == 0 {
+                    // println!("Scalar");
+                    todo!();
+                } else if lhs.layout_impl().is(Layout::CORDER | Layout::FORDER) &&
+                    rhs.layout_impl().is(Layout::CORDER | Layout::FORDER) &&
+                    lhs.layout_impl().matches(rhs.layout_impl()) {
+                    // println!("Contiguous");
+
+                    static mut KERNEL_BUILT: bool = false; // todo: fix monomorphization issue
+
+                    let typename = match crate::opencl::rust_type_to_c_name::<A>() {
+                        Some(x) => x,
+                        None => panic!("The Rust type {} is not supported by the \
+                                        OpenCL backend", std::any::type_name::<A>())
+                    };
+
+                    let kernel_name = format!("binary_op_{}_{}", stringify!($math_op), typename);
+
+                    if unsafe { !KERNEL_BUILT } {
+                        let kernel = crate::opencl::gen_contiguous_linear_kernel_3(
+                            &kernel_name,
+                            typename,
+                            stringify!($operator));
+
+                        unsafe {
+                            if let Err(e) = hasty_::opencl::opencl_add_kernel(&kernel) {
+                                panic!("Failed to add OpenCL kernel. Errored with code {:?}", e);
+                            }
+                            KERNEL_BUILT = true;
+                        }
+                    }
+
+                    unsafe {
+                        let elements = self.len();
+                        let self_ptr = self.as_ptr() as *mut std::ffi::c_void;
+                        let other_ptr = rhs.as_ptr() as *mut std::ffi::c_void;
+                        let res_ptr = match hasty_::opencl::opencl_allocate(
+                            elements * std::mem::size_of::<A>(),
+                            hasty_::opencl::OpenCLMemoryType::ReadWrite
+                        ) {
+                            Ok(buf) => buf,
+                            Err(e) => panic!("Failed to allocate OpenCL buffer. Exited with: {:?}", e)
+                        };
+
+                        match hasty_::opencl::opencl_run_contiguous_linear_kernel_3(
+                            &kernel_name,
+                            elements,
+                            self_ptr,
+                            other_ptr,
+                            res_ptr,
+                        ) {
+                            Ok(()) => {
+                                use std::ptr::NonNull;
+
+                                let ptr = NonNull::new(res_ptr as *mut A).unwrap();
+                                let data = OwnedRepr::<A>::from_components(
+                                    ptr,
+                                    self.len(),
+                                    self.len(),
+                                    self.device(),
+                                );
+
+                                Self::Output::from_parts(
+                                    data,
+                                    ptr,
+                                    <D as DimMax<E>>::Output::from_dimension(&self.raw_dim()).unwrap(),
+                                    <D as DimMax<E>>::Output::from_dimension(&self.raw_strides()).unwrap(),
+                                )
+                            }
+                            Err(e) => panic!("Failed to run OpenCL kernel '{}'. \
+                                              Exited with code: {:?}", kernel_name, e),
+                        }
+                    }
+                } else {
+                    println!("Strided");
+                    todo!();
+                }
+            }
+
+            #[cfg(feature = "cuda")]
+            Device::CUDA => {
+                todo!();
+            }
+        }
     }
 }
 
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between `self` and the scalar `x`,
 /// and return the result (based on `self`).
 ///
 /// `self` must be an `Array` or `ArcArray`.
-impl<A, S, D, B> $trt<B> for ArrayBase<S, D>
-    where A: Clone + $trt<B, Output=A>,
+impl<A, S, D, B> $rs_trait<B> for ArrayBase<S, D>
+    where A: Clone + $rs_trait<B, Output=A>,
           S: DataOwned<Elem=A> + DataMut,
           D: Dimension,
           B: ScalarOperand,
 {
     type Output = ArrayBase<S, D>;
-    fn $mth(mut self, x: B) -> ArrayBase<S, D> {
+    fn $math_op(mut self, x: B) -> ArrayBase<S, D> {
         self.map_inplace(move |elt| {
             *elt = elt.clone() $operator x.clone();
         });
@@ -216,33 +335,23 @@ impl<A, S, D, B> $trt<B> for ArrayBase<S, D>
 }
 
 /// Perform elementwise
-#[doc=$doc]
+#[doc=$docstring]
 /// between the reference `self` and the scalar `x`,
 /// and return the result as a new `Array`.
-impl<'a, A, S, D, B> $trt<B> for &'a ArrayBase<S, D>
-    where A: Clone + $trt<B, Output=A>,
+impl<'a, A, S, D, B> $rs_trait<B> for &'a ArrayBase<S, D>
+    where A: Clone + $rs_trait<B, Output=A>,
           S: Data<Elem=A>,
           D: Dimension,
           B: ScalarOperand,
 {
     type Output = Array<A, D>;
-    fn $mth(self, x: B) -> Self::Output {
+    fn $math_op(self, x: B) -> Self::Output {
         self.map(move |elt| elt.clone() $operator x.clone())
     }
 }
     );
 );
 
-// Pick the expression $a for commutative and $b for ordered binop
-macro_rules! if_commutative {
-    (Commute { $a:expr } or { $b:expr }) => {
-        $a
-    };
-    (Ordered { $a:expr } or { $b:expr }) => {
-        $b
-    };
-}
-
 macro_rules! impl_scalar_lhs_op {
     // $commutative flag. Reuse the self + scalar impl if we can.
     // We can do this safely since these are the primitive numeric types
@@ -290,10 +399,11 @@ impl<'a, S, D> $trt<&'a ArrayBase<S, D>> for $scalar
 
 mod arithmetic_ops
 {
-    use super::*;
+    use std::ops::*;
+
     use crate::imp_prelude::*;
 
-    use std::ops::*;
+    use super::*;
 
     fn clone_opf<A: Clone, B: Clone, C>(f: impl Fn(A, B) -> C) -> impl FnMut(&A, &B) -> C
     {
@@ -441,9 +551,10 @@ mod arithmetic_ops
 
 mod assign_ops
 {
-    use super::*;
     use crate::imp_prelude::*;
 
+    use super::*;
+
     macro_rules! impl_assign_op {
         ($trt:ident, $method:ident, $doc:expr) => {
             use std::ops::$trt;
diff --git a/src/layout/mod.rs b/src/layout/mod.rs
index 026688d63..f0e759b51 100644
--- a/src/layout/mod.rs
+++ b/src/layout/mod.rs
@@ -79,6 +79,21 @@ impl Layout
         (self.is(Layout::CORDER) as i32 - self.is(Layout::FORDER) as i32)
             + (self.is(Layout::CPREFER) as i32 - self.is(Layout::FPREFER) as i32)
     }
+
+    /// Return true if the layout order of `self` matches the layout order of `other`
+    ///
+    /// **Note**: We ignore the preference bits
+    #[inline(always)]
+    pub(crate) fn matches(self, other: Self) -> bool
+    {
+        self.0 & (0b11) == other.0 & (0b11)
+    }
+
+    // /// Return true if this layout exactly matches the other layout
+    // #[inline(always)]
+    // pub(crate) fn matches_exact(self, other: Self) -> bool {
+    //     self.0 == other.0
+    // }
 }
 
 #[cfg(test)]
diff --git a/src/lib.rs b/src/lib.rs
index 37af0adfe..569e298e5 100644
--- a/src/lib.rs
+++ b/src/lib.rs
@@ -208,6 +208,7 @@ mod dimension;
 
 pub use crate::zip::{FoldWhile, IntoNdProducer, NdProducer, Zip};
 
+pub use crate::data_repr::Device;
 pub use crate::layout::Layout;
 
 /// Implementation's prelude. Common types used everywhere.
@@ -1129,7 +1130,7 @@ pub type Ixs = isize;
 /// }
 /// let arr = Array2::from_shape_vec((nrows, ncols), data)?;
 /// assert_eq!(arr, array![[0, 0, 0], [1, 1, 1]]);
-/// # Ok::<(), ndarray::ShapeError>(())
+/// Ok::<(), ndarray::ShapeError>(())
 /// ```
 ///
 /// If neither of these options works for you, and you really need to convert
@@ -1153,7 +1154,7 @@ pub type Ixs = isize;
 ///     [[1, 2, 3], [4, 5, 6]],
 ///     [[7, 8, 9], [10, 11, 12]],
 /// ]);
-/// # Ok::<(), ndarray::ShapeError>(())
+/// Ok::<(), ndarray::ShapeError>(())
 /// ```
 ///
 /// Note that this implementation assumes that the nested `Vec`s are all the
@@ -1617,3 +1618,14 @@ pub(crate) fn is_aligned<T>(ptr: *const T) -> bool
 {
     (ptr as usize) % ::std::mem::align_of::<T>() == 0
 }
+
+#[cfg(feature = "opencl")]
+mod opencl;
+
+pub fn configure()
+{
+    #[cfg(feature = "opencl")]
+    unsafe {
+        hasty_::opencl::configure_opencl();
+    }
+}
diff --git a/src/opencl.rs b/src/opencl.rs
new file mode 100644
index 000000000..6e5206dcc
--- /dev/null
+++ b/src/opencl.rs
@@ -0,0 +1,46 @@
+pub(crate) fn rust_type_to_c_name<T>() -> Option<&'static str>
+{
+    match std::any::type_name::<T>() {
+        "f32" => Some("float"),
+        "f64" => Some("double"),
+        "i8" => Some("int8_t"),
+        "i16" => Some("int16_t"),
+        "i32" => Some("int32_t"),
+        "i64" => Some("int64_t"),
+        "u8" => Some("uint8_t"),
+        "u16" => Some("uint16_t"),
+        "u32" => Some("uint32_t"),
+        "u64" | "usize" => Some("uint64_t"),
+        _ => None,
+    }
+}
+
+pub(crate) fn gen_contiguous_linear_kernel_3(kernel_name: &str, typename: &str, op: &str) -> String
+{
+    format!(
+        r#"
+        #ifndef NDARRAY_INCLUDE_STDINT
+        #define NDARRAY_INCLUDE_STDINT
+
+        // We should probably verify that these are, in fact, correct
+        typedef char int8_t;
+        typedef short int16_t;
+        typedef int int32_t;
+        typedef long int64_t;
+        typedef unsigned char uint8_t;
+        typedef unsigned short uint16_t;
+        typedef unsigned int uint32_t;
+        typedef unsigned long uint64_t;
+        #endif // NDARRAY_INCLUDE_STDINT
+
+        __kernel void {kernel_name}(__global const {typename} *a, __global const {typename} *b, __global {typename} *c) {{
+            // Get id as 64-bit integer to avoid overflow
+            uint64_t i = get_global_id(0);
+            c[i] = a[i] {op} b[i];
+        }}
+        "#,
+        kernel_name = kernel_name,
+        typename = typename,
+        op = op,
+    )
+}