Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads

In this paper, we introduce the Tensor Streaming Processor (TSP) architecture, a functionally-sliced microarchitecture with memory units interleaved with vector and matrix deep learning functional units in order to take advantage of dataflow locality of deep learning operations. The TSP is built bas...

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Bibliographic Details

Published in:	2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) pp. 145 - 158
Main Authors:	Abts, Dennis, Ross, Jonathan, Sparling, Jonathan, Wong-VanHaren, Mark, Baker, Max, Hawkins, Tom, Bell, Andrew, Thompson, John, Kahsai, Temesghen, Kimmell, Garrin, Hwang, Jennifer, Leslie-Hurd, Rebekah, Bye, Michael, Creswick, E.R., Boyd, Matthew, Venigalla, Mahitha, Laforge, Evan, Purdy, Jon, Kamath, Purushotham, Maheshwari, Dinesh, Beidler, Michael, Rosseel, Geert, Ahmad, Omar, Gagarin, Gleb, Czekalski, Richard, Rane, Ashay, Parmar, Sahil, Werner, Jeff, Sproch, Jim, Macias, Adrian, Kurtz, Brian
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2020
Subjects:	Computer architecture Data models Deep learning Hardware Microarchitecture Parallel processing System-on-chip Tensors Transistors Vectors
Online Access:	Get full text
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