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gpu-parallelism

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rbga / CUDA-Merge-and-Bitonic-Sort

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Efficient implementations of Merge Sort and Bitonic Sort algorithms using CUDA for GPU parallel processing, resulting in accelerated sorting of large arrays. Includes both CPU and GPU versions, along with a performance comparison.

cplusplus cuda gpgpu high-performance-computing sorting-algorithms gpu-acceleration gpu-computing parallel-processing bitonic-sort merge-sort nvidia-gpu gpu-programming parallel-sorting parallel-algorithms algorithm-implementation gpu-parallelism array-sorting cuda-cpp sorting-performance efficient-sorting
  • Updated Jul 27, 2023
  • Cuda

cmontemuino / amd-mi300x-ml-benchmarks

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Comprehensive machine learning benchmarking framework for AMD MI300X GPUs on Dell PowerEdge XE9680 hardware. Supports both inference (vLLM) and training workloads with containerized test suites, hardware monitoring, and analysis tools for performance, power efficiency, and scalability research across the complete ML pipeline.

machine-learning deep-learning pytorch performance-analysis gpu-computing rocm hardware-monitoring gpu-monitoring distributed-training gpu-performance amd-gpu gpu-parallelism vllm power-efficiency llm-benchmarking containerized-testing ai-infrastructure dell-poweredge amd-mi300x scalability-testing
  • Updated Aug 9, 2025

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