Research

Ongoing collaboration

  • Member of the Maelstrom project. An Inria & Simula (Norway) joint team.
  • Participant in the 3BEARS Broad Bundle of BEnchmARks for Scheduling in HPC, Big Data, and ML project. In collaboration with the HPC team of the University of Basel (Switzerland).
  • Contributor to the garbage collector energy optimization effort lead by the Uppsala (Sweden) Programming Languages team.
  • Dual-PI in a collaboration involving the University Iowa (USA) SwAPP Lab working on code representation and optimization.

Supervision

I was the main advisor of the following students:

  • Lana Scravaglieri, a mater student at the École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, during her internship of 3 months at Inria in 2021. Her work on data sizes is currently submitted for review.
  • Isaac Sánchez Barrera, a PHD student at Barcelona Supercomputing, during his internship of 3 months at Uppsala University in 2019. Our collaboration on prefetchers resulted in an ICS 2020 publication.
  • Anastasia Stupnikova, for her master thesis at Uppsala University from March to October 2019. Her thesis focused on machine learning methods applied to optimize NUMA effects. The idea from her thesis was also published in our ICS 2020 paper.
  • Florent Conti, a L3 student for a 4 months internship at the Exascale Computing Research (collaboration lab between CEA, UVSQ and Intel). He contributed to our paper published at IPDPS 2015.

Software tool

My phd was focused on parallel programs decomposition. Most of its ideas are included in the open source framework CERE. A short video using CERE for NUMA and prefetcher optimizations can be accessed here :)


Volunteer experience

2022 Web & Publicity chair / Program Committee

2021 Program Committee/Reviewer

2020 Program Committee/Reviewer

2019 Web chair

2018 Reviewer

  • Euro-Par'24
  • CC'28
  • IEEE TC