International Workshop on Machine Learning Hardware (IWMLH), Co-located with ISC2020

Important news : Due to the current Covid-19 situation, the ISC2020 conference has switched to a free to all digital format, of which IWMLH will be part. Video presentations and slides will be available here starting from June 22nd, and a Q/A session will be held on the 25th. Please keep an eye on this page for logistic updates.

Live Q/A Session: June 25th, 4PM CEST (9AM CDT, 12PM JST, 7AM PDT). The mlhardware.slack.com slack channel will be used (invite widget besides). Videoconferencing details will be shared both on this webpage and through slack.

Workshop Scope

Recent years have seen a surge of investment in AI chip companies worldwide. Most companies design accelerators for industrial applications, as opposed to scientific workloads. As the use of machine learning (ML) accelerates in the HPC field itself, there is concern that the scientific community should influence the design of this new specialized hardware. Indeed, scientific computing has an uncommon set of requirements regarding platform usage and administration, and how those chips answer those demands will shape the future of their integration within the global scientific computing infrastructure.

The workshop will feature the participation of select AI accelerator companies, with discussions centered on the following aspects:

Participants

Invited speaker

Albert Cohen, Research Scientist, Google Research.

Participating companies

Company Speaker
Adrian Macias, Machine Learning Systems Specialist
Kunle Olukotun, Chief Technologist and Co-Founder
Matt Fyles, VP of Software
Andy Hock, Senior Director and Head of Product
Yusuke Doi, VP of Computing Infrastructure

Organizers

Pete Beckman, Argonne National Laboratory - beckman@mcs.anl.gov
Swann Perarnau, Argonne National Laboratory - swann@anl.gov
Rosa M.Badia, Barcelona Supercomputing Center
Kentaro Sano, RIKEN
Valentin Reis, Argonne National Laboratory - vreis@anl.gov