👀 I’m interested in dataflow programming, adaptable granularity, resource allocation, distributed HPC architecture, network topology, radio astronomy imaging algorithm, compilation.
- Automatic adaptation of data parallelism on a single node multicore architecture 📄 [1]
- Automatic adaptation of pipeline parallelism on a single node multicore architecture 📄 [2]
- Considering the hierarchical context state in granularity adaptation 📄 [3]
- Balanced workload-based dataflow resource allocation on heterogeneous multi-node, multi-core systems 📄 [4]
- Dataflow co-design for Pareto-optimal high-performance computing system 📄 [5]
- Automatic resource allocation and code generation for Nvidia GPU-accelerated architecture 📄 [6]
🔧 This research was conducted using and extending the PREESM framework.
📡 My first postdoctoral research work (2024-2026: SATIE, ENS Rennes, IRISA / ANR DARKERA 🇫🇷) focuses on:
- Automatic exploration of radio-interferometric imaging algorithms and HPC architectures 📄 [7]
- Runtime, Compilation, and Directive Proposal Optimizations for the OpenMP Cluster Model
💞️ I’m looking to collaborate on interesting projects in resource allocation & compilation.
📫 You can reach me on my email: ophelie.renaud@ens-paris-saclay.fr or visit my personal website here.

