1st Annual Workshop
Date: 16th September 2019.
Time | Session | Speaker | Title |
---|---|---|---|
1100 - 1230 (25-min sessions) |
Intro + Big Picture | Welcome (5-min) - Tony Nowatzki (UCLA) Intro (10-min) - Matt Horsnell (Arm) |
|
Sarita Adve (UIUC) | |||
Vikram Adve (UIUC) | HPVM: A Uniform Interface and Abstraction for Heterogeneous Parallel Systems | ||
Arrvindh Shriraman (SFU) | |||
1230 - 1400 | Lunch Break | ||
1400 - 1530 (22-min sessions) |
DSLs, Compilers, & IRs | Thierry Moreau (UoWashington) | The Past, Present and Future of Deep Learning Acceleration Stacks. |
Riyadh Baghdadi (MIT) | Tiramisu: A Polyhedral Compiler for Dense and Sparse Deep Learning and More | ||
Jeff Setter (Stanford) | Halide to Hardware: Exploring accelerators using software languages | ||
Naums Mogers (UoEdinburgh) | Functional Interface for Performance Portability on Parallel Accelerators | ||
1530 - 1600 | Break | ||
1600 - 1650 (25-min sessions) |
Programmable Accelerators | Aviral Shrivastava (ASU) | dMazeRunner: Accelerate perfectly nested loops on dataflow accelerators /td> </tr> |
Ramana Radhakrishnan (Arm) | |||
1650 - 1730 | Panel | Sarita Adve, Vikram Adve, Arrvindh Shriraman, Riyadh Baghdadi | Panel Moderator - David Weaver (Arm) |