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2020 – today
- 2022
[c4]Ibrahim Ahmed, Sahil Parmar, Matthew Boyd, Michael Beidler, Kris Kang, Bill Liu, Kyle Roach, John Kim, Dennis Abts:
Answer Fast: Accelerating BERT on the Tensor Streaming Processor. ASAP 2022: 80-87- [c3]Dennis Abts, John Kim, Garrin Kimmell, Matthew Boyd, Kris Kang, Sahil Parmar, Andrew C. Ling, Andrew Bitar, Ibrahim Ahmed, Jonathan Ross:
The Groq Software-defined Scale-out Tensor Streaming Multiprocessor : From chips-to-systems architectural overview. HCS 2022: 1-69 - [c2]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:
A software-defined tensor streaming multiprocessor for large-scale machine learning. ISCA 2022: 567-580 - [i1]Ibrahim Ahmed, Sahil Parmar, Matthew Boyd, Michael Beidler, Kris Kang, Bill Liu, Kyle Roach, John Kim, Dennis Abts:
Answer Fast: Accelerating BERT on the Tensor Streaming Processor. CoRR abs/2206.11062 (2022) - 2020
- [c1]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, Adrián Macías, Brian Kurtz:
Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads. ISCA 2020: 145-158
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