Sahil Parmar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
2
Venues
1
Active years
2020–2022
Best venue rank
A*
Where they publish
Papers
2 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ISCA | A software-defined tensor streaming multiprocessor for large-scale machine learning. | Dennis Abts, Garrin Kimmell, Andrew C. Ling, John Kim, Matthew Boyd, Andrew Bitar, Sahil Parmar, Ibrahim Ahmed, Roberto DiCecco, David Han, John Thompson, Michael Bye, Jennifer Hwang, Jeremy Fowers, Peter Lillian, Ashwin Murthy, Elyas Mehtabuddin, Chetan Tekur, Thomas Sohmers, Kris Kang, Stephen Maresh, Jonathan Ross |
| 2020 | ISCA | Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads. | Dennis Abts, Jonathan Ross, Jonathan Sparling, Mark Wong-VanHaren, Max Baker, Tom Hawkins, Andrew Bell, John Thompson, Temesghen Kahsai, Garrin Kimmell, Jennifer Hwang, Rebekah Leslie-Hurd, Michael Bye, E. R. Creswick, Matthew Boyd, Mahitha Venigalla, Evan Laforge, Jon Purdy, Purushotham Kamath, Dinesh Maheshwari, Michael Beidler, Geert Rosseel, Omar Ahmad, Gleb Gagarin, Richard Czekalski, Ashay Rane, Sahil Parmar, Jeff Werner, Jim Sproch, Adrin Macas, Brian Kurtz |