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.
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:
|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|
Pete Beckman, Argonne National Laboratory -
Swann Perarnau, Argonne National Laboratory -
Rosa M.Badia, Barcelona Supercomputing Center
Kentaro Sano, RIKEN
Valentin Reis, Argonne National Laboratory -