Loïc Pottier

7000 East Ave

Livermore, CA 94550

I am currently a Research Scientist at the Lawrence Livermore National Laboratory in the Bay Area. I am part of the Center for Applied Scientific Computing where I am working on scientific workflows management at extreme scales.

Before that, I was Computer Scientist at the Information Sciences Institute which is part of the University of Southern California in Los Angeles. I was part of the Science Automation Technologies group led by Dr Ewa Deelman where I was working on scientific workflows management on large-scale cyber-infrastructures and on optimizing machine learning workflows to run on high-performance systems (HPC).

In 2018, I have defended my PhD in Computer Science at École Normale Supérieure, France, under the supervision of Anne Benoit and Yves Robert. I was part of the team ROMA at the LIP, during my PhD I was mainly working on co-scheduling algorithms for large-scale applications.

I have also investigated scheduling and data management problems on the new many-core architectures.

My research interests lie at the intersection of parallel computing and resource management:

Scheduling problems in HPC and distributed computing
Resilience & reliability at Exascale
Scientific workflows management
Distributed Machine Learning on HPC systems

News

Oct 17, 2022	I am working for the US Department of Energy at the Lawrence Livermore National Laboratory (LLNL) as Research Scientist.
May 1, 2020	I have been promoted to full-time Computer Scientist at ISI.
Feb 19, 2019	I joined the USC Information Sciences Institute as a postdoc!

Selected Publications

Thesis

Co-scheduling for large-scale applications: memory and resilience

Loïc Pottier

Sep 2018

Bib HTML

@phdthesis{pottier2018,
  title = {{Co-scheduling for large-scale applications: memory and resilience}},
  author = {Pottier, Lo{\"i}c},
  url = {https://tel.archives-ouvertes.fr/tel-01892395},
  number = {2018LYSEN039},
  school = {{Universit{\'e} de Lyon}},
  year = {2018},
  month = sep,
  keywords = {mine,ensl, Co-scheduling algorithm, Memory hierarchy, Cache memory, Scheduling, Resilience, High performance computing, HPC, Memory, Many-core, Ordonnancement concurrent, Hi{\'e}rarchie m{\'e}moire, Algorithme d'ordonnancement, R{\'e}silience, Informatique haute performance, Ant{\'e}m{\'e}moire},
  type = {Theses},
  hal_id = {tel-01892395},
  hal_version = {v1},
}