VSA: A Hybrid Vector-Systolic Architecture
Paper in proceeding, 2022
DNN
Vector Unit
Systolic Array
Machine Learning
GEMM
SIMD
Author
Mateo Vázquez Maceiras
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Muhammad Waqar Azhar
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Pedro Petersen Moura Trancoso
Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)
Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
10636404 (ISSN)
Vol. 2022-October 368-3769781665461863 (ISBN)
Lake Tahoe, USA,
Very Efficient Deep Learning in IOT (VEDLIoT)
European Commission (EC) (EC/H2020/957197), 2020-11-01 -- 2023-10-31.
European, extendable, energy-efficient, energetic, embedded, extensible, Processor Ecosystem (eProcessor)
European Commission (EC) (EC/H2020/956702), 2021-01-01 -- 2024-06-30.
Subject Categories
Computer Engineering
Computer Science
Computer Systems
Driving Forces
Sustainable development
DOI
10.1109/ICCD56317.2022.00061