About
I am a permanent CEA computer scientist at Maison de la Simulation. My research focuses on programming models for high-performance computing. I am especially interested in the question of separation of concerns between the simulated domain specific aspects and optimization aspects.
I try to concretize my research into production-level software like the PDI library. I also try to apply these libraries in production into real codes like the Gysela5D code for example.
Multiple positions are funded and available to work with me:
- a 2 years post-doc position,
- a 3 year engineer position,
- motivated interns or PhD students are always welcome!
- programming models and software engineering,
- high-performance computing and data analytics,
- plasma physics simulation.
Contact
- julien.bigot@cea.fr
- +33 (0) 1 69 08 01 75
-
Maison de la Simulation,
bât. 565, CEA Saclay
91191 Gif-sur-Yvette Cedex
Grants
Scientific Committee participations
I participate(d) in the following scientific committees:
- CCGrid: Program Committee member
- CHEOPS: Program Committee member
- DRMEC: Program Committee member
- FTS: Program Committee member
- HP-C/DA: Organizer
- ICPP: Program Committee member
- Supercomputing Exhibitor Forum Committee member
- Supercomputing Tutorials Committee member
- WOPSSS: Program Committee member
I am also a reviewer for multiples conferences and journals (Journal of Grid Computing, Europar, ScalA, CBHPC, MAPREDUCE, …)
They work(ed) with me
Current collaborators
Previous collaborators
Experience
Advised by Guillaume Latu, I worked on Gysela5D, a semi-Lagrangian gyrokinetic solver for plasma physics in the field of controlled fusion.
I focused on porting Gysela to the Blue Gene/Q architecture. I also worked to modularize the application by applying a software component approach similar to what I proposed during my Ph.D. Thesis.
- string & term rewriting systems,
- regular languages & context-free grammars,
- finite-state & pushdown automaton.
Generic Support of Composition Operators in Software Component Models, Application to Scientific Computing
Advised by Christian Pérez, I proposed HLCM, a component assembly model in which new composition operators can be introduced. This model is especially well suited for High Performance Computing thanks to the minimum overhead it introduces and to the optimizations it enables. It has been validated with experiments on the Grid'5000 platform.