- 2
Olivier Aumage
2
Documents
Présentation
Position
--------
Olivier Aumage holds a permanent Researcher position as part of the RUNTIME Team at INRIA in Bordeaux and is member from the LaBRI laboratory since 2003.
Research Topics
---------------
His research topics include runtime systems and multithread scheduling in the context of multicores, manycores and accelerators programming, and communication optimization on high performance networks, as well as application analysis and profiling.
Collaborations and Projects
---------------------------
He has been the scientific coordinator for the ANR ProHMPT project dedicated to accelerating nanoscale material simulations through the use of GPU. He is now involved in the ongoing FP7 IRSES Project HPC-GA High Performance Computing for Geophysics Applications, FP7 ICT Project Mont-Blanc 2 aiming at designing programming tools for energy efficient high-performance computing, MORSE associated team with INRIA HiePacs and UTK, and ANR Project Solhar on porting matrix solvers over runtimes.
Position
--------
Olivier Aumage holds a permanent Researcher position as part of the RUNTIME Team at INRIA in Bordeaux and is member from the LaBRI laboratory since 2003.
Research Topics
---------------
His research topics include runtime systems and multithread scheduling in the context of multicores, manycores and accelerators programming, and communication optimization on high performance networks, as well as application analysis and profiling.
Collaborations and Projects
---------------------------
He has been the scientific coordinator for the ANR ProHMPT project dedicated to accelerating nanoscale material simulations through the use of GPU. He is now involved in the ongoing FP7 IRSES Project HPC-GA High Performance Computing for Geophysics Applications, FP7 ICT Project Mont-Blanc 2 aiming at designing programming tools for energy efficient high-performance computing, MORSE associated team with INRIA HiePacs and UTK, and ANR Project Solhar on porting matrix solvers over runtimes.
Publications
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
|
Optimizing Performance and Energy Across Problem Sizes Through a Search Space Exploration and Machine LearningJournal of Parallel and Distributed Computing, 2023, 180, pp.104720. ⟨10.1016/j.jpdc.2023.104720⟩
Article dans une revue
hal-03810305v1
|
|
A comparison of multithreading, vectorization, and GPU computing for the acceleration of cardiac electrophysiology modelsComputing in Cardiology 2022, Sep 2022, Tampere, Finland
Communication dans un congrès
hal-03936903v1
|