Aurelien Cavelan

Biography
Since September 2017, I am a postdoctoral researcher at the Department of Mathematics and Computer Science at the University of Basel. As a member of the High Performance Computing (HPC) group, my main topics of interest include fault-tolerance, modeling, simulations, optimization and scheduling techniques for large scale platforms.
In 2014, I completed my master's degree in computer science at the University of Orléans, France, before moving to École Normale Supérieure de Lyon (ENS Lyon) where I did a 6 months research internship on fault-tolerance and scheduling techniques for large-scale systems, before being accepted as a full-time PhD student.
In 2016, as part of the Joint Laboratory for Extreme Scale Computing (JLESC), I spent 3 months at Argonne National Laboratory (ANL) in Chicago under the supervision of Franck Cappello to initiate a project aiming at optimizing the execution of large application workflows subject to faults.
In 2017, I completed my PhD in computer science under the supervision of Anne Benoit and Yves Robert at the LIP Laboratory in Lyon, France. I made contributions in the area of fault-tolerance and scheduling under the form of new algorithms as well as several optimality result.
In 2014, I completed my master's degree in computer science at the University of Orléans, France, before moving to École Normale Supérieure de Lyon (ENS Lyon) where I did a 6 months research internship on fault-tolerance and scheduling techniques for large-scale systems, before being accepted as a full-time PhD student.
In 2016, as part of the Joint Laboratory for Extreme Scale Computing (JLESC), I spent 3 months at Argonne National Laboratory (ANL) in Chicago under the supervision of Franck Cappello to initiate a project aiming at optimizing the execution of large application workflows subject to faults.
In 2017, I completed my PhD in computer science under the supervision of Anne Benoit and Yves Robert at the LIP Laboratory in Lyon, France. I made contributions in the area of fault-tolerance and scheduling under the form of new algorithms as well as several optimality result.
Presentations
Workshop

Accelerators
Benchmarks
Compiler Analysis and Optimization
Deep Learning
Effective Application of HPC
Energy
Exascale
GPU
I/O
Parallel Application Frameworks
Parallel Programming Languages, Libraries, Models and Notations
Performance
Simulation
Storage