Jennifer Hwang

According to our database, Jennifer Hwang authored at least 2 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2020

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, Adrián Macías, Brian Kurtz

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020