François Pacaud

François Pacaud is a postdoctoral appointee at Argonne National Lab, supervised by Mihai Anitescu. His work focuses on the development of new nonlinear optimization algorithms on GPU architectures.

Talks:

16:30 UTC

Nonlinear programming on the GPU

07/29/2021, 4:30 PM — 5:00 PM UTC
JuMP Track

So far, most nonlinear optimization modelers and solvers have primarily targeted CPU architectures. However, with the emergence of heterogeneous computing architectures, leveraging massively parallel accelerators in nonlinear optimization has become crucial for performance. As part of the Exascale Computing Project ExaSGD, we are studying how to efficiently run nonlinear optimization algorithms at exascale using GPU accelerators.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor

NumFOCUS