Quentin Petit

PhD student in High Performance Compmuting

Currently in my 3rd year of doctoral studies at the University of Paris-Saclay, I'm looking for opportunities in industry to continue working on the computational distribution of very large Deep Learning models.


Research Engineer in HPC

Huawei Technologies

I worked on distributed and parallel multi-level computing for very large Deep Learning models. I specifically worked on the generalization of data embedding in the pre-processing of large models. The goal is to find the best way of representing data to retain as much information as possible, while reducing their size to save computing power during processing. Methods will be implemented in MindSpore, an AI framework.

March 2020 - Present

Sparse linear Algebra Research project

CNRS & Maison de la Simulation

I experimented existing linear algebra proposed by TensorFlow for sparse matrix computation. I analyzed how it is possible to use new sparse matrix compression formats using TensorFlow in order to minimize communications and optimize computation time.

- March 2013

Front-End back-End developer


To support a major relocation and with the aim of improving the well-being of employees in their workplace, I developed a new web application in Angular. I used the CakePHP library for the back-end part. This application allows all employees to listen to music. Their use then allows you to customize the music in the common rooms.

Mai 2019 - August 2019

Software engineer internship

CNRS & Maison de la Simulation

Lead graphical user interface Implementation for the SMG2S project (Mathematical research project). Website: https://smg2s.github.io/

Jully - August 2018


Thesis HPC/DL

Paris-Saclay University • PhD Degree
Subject : Distributed and Parallel Multi-level Computing for very Large Graph Neural Networks
Academic supervisor : Prof. Emad Nahid
Industrial supervisor : Dr. Li Chong
Jully 2021 - Jully 2024

Software Engineering and Statistics

Polytech Lille • Master Degree
August 2017 - August 2020

Bachelor of Mathematics

Polytech Tours • Bachelor Degree
August 2015 - June 2017


Programming skills

C / C++

High performance computing algorithm development



Parrallel and collectives communciations library: MPI, OpenMP, HCCL



Build documents and slides with LaTeX



AI Framework: Keras, TensorFlow, MindSpore




C2: Mother tongue


C1: Fluent


A1: Elementary


A1: Elementary


While studying mathematics and computer science, I became passionate about HPC and computations based on sparse linear algebra in a massively distributed environment.

During my thesis, I worked on the application of these principles to accelerate computations and took part in the generalization of various Deep Learning models.


  • Running
  • Photography
  • Video Games

Research areas

  • High Performance Computing
  • Sparse Matrix - Sparse Linear Algebra
  • Dimension Reduction
  • Embedding/Pre-processing for Deep Learning Models
  • Distributed computing