François Pacaud

Postdoc at Argonne National Labt


19:00 UTC

Streamlining nonlinear programming on GPUs

07/29/2022, 7:00 PM — 7:30 PM UTC

We propose a prototype for a vectorized modeler written in pure Julia, targeting the resolution of large-scale nonlinear optimization problems. The prototype has been designed to evaluate seamlessly the problem's expression tree with GPU accelerators. We discuss the implementation and the challenges we have encountered, as well as preliminary results comparing our prototype together with JuMP's AD backend.

Platinum sponsors

Julia ComputingRelational AIJulius Technology

Gold sponsors


Silver sponsors

Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

Media partners

Packt PublicationGather TownVercel

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Data UmbrellaWiMLDS

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