Teaching parallelism to the Julia compiler

07/29/2021, 5:30 PM6:00 PM UTC
Red

Abstract:

How we currently implement the task parallel API in Julia introduces a couple of obstacles for supporting high-performance parallel programs. In particular, the compiler cannot analyze and optimize the child tasks in the context of the surrounding code. In this talk, I discuss our work on using Tapir (Schardl et al., 2019) to add parallelism to Julia that can be optimized by the compiler.

Description:

This is joint work with Valentin Churavy and TB Schardl.

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