Cédric Augonnet
Senior Research Scientist at NVIDIA
Bordeaux, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolCédric Augonnet is a Senior Research Scientist based in Bordeaux specializing in high-performance computing, parallel programming, runtime systems, and CUDA-driven scheduling for HPC environments. With a career bridging academia and industry—PhD and StarPU runtime design at INRIA, research roles at CEA, and multiple tenures at NVIDIA—he focuses on making heterogeneous architectures efficient and portable. He led design work to extend CUDA and programming models for large-scale scientific computing and co-created a runtime that tightly couples data management with adaptive task scheduling. Known for practical, low-level optimizations (e.g., memory pinning and registration caches) as well as higher-level scheduling strategies, he brings both systems-level rigor and applied research insight. Colleagues value his ability to translate academic advances into production-grade features that improve HPC application performance.
2 years of coding experience
1 year of employment as a software developer
Master 1, Computer Science, Master 1, Computer Science at Vrije Universiteit Amsterdam (VU Amsterdam)Master 2, Computer Science, Master 2, Computer Science at Université de BordeauxÉcole normale supérieure de LyonLycée Pothier
English, French
Github Skills (46)
graph-algorithms10
random-walk10
gpgpu10
graph10
gpu-programming10
hpc10
nvidia10
parallel-computing10
gpu10
accelerated-computing10
cuda10
cpp10
gpu-acceleration10
memgraph10
graph-analysis9
Programming languages (4)
Github contributions (5)
caugonnet/cccl
Oct 2024 - Apr 2025
CUDA Core Compute Libraries
Contributions:687 pushes, 57 branches in 5 months
caugonnet/cugraph
Dec 2024 - Mar 2025
cuGraph - RAPIDS Graph Analytics Library
Contributions:25 pushes, 6 branches in 3 months
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