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...

Celý popis

Podrobná bibliografie

Vydáno v:	2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) s. 145 - 158
Hlavní autoři:	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
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 01.05.2020
Témata:	Computer architecture Data models Deep learning Hardware Microarchitecture Parallel processing System-on-chip Tensors Transistors Vectors
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!