Website of Stephane Vialle

Teaching activities

My teaching activities focus on High-Performance Computing (parallel and distributed programming and algorithms, performance and scalability measurements, application to Machine Learning and optimization problems), Big Data environments and programming, and more recently quantum computing (use of QPUs in High-Performance Computing and Machine Learning applications).

• Courses and Thematic Sequences at CentraleSupelec

• Courses in other institutions

Ongoing Research Projects:

• Quantum Computing:

  • • Using QPU in the HPC stack (collaboration with LIHPC, funded by CEA DAM)

    • Quantum ML (collaboration with LMOPS, funded by Quantum Paris-Saclay)

• High-Performance Computing:

  • • High-Performance Machine Learning and Data Analytics on GPU (collaboration with LMPS, funded by Minerve PIA)

    • Multi-architecture Adaptive Mesh Refinement (on CPU & GPU) (collaboration with LIHPC, funded by CEA DAM)

    • Task Scheduling on Cloud (in collaboration and funded by ANEO company)

List of my publications:

• My HAL CV page

Current administrative responsibilities:

• Head of Parallel Systems (ParSys) research team in LISN laboratory 

• Responsible for CentraleSupelec's work-study program