A Hardware-Software Blueprint for Flexible Deep Learning Specialization

A Hardware-Software Blueprint for Flexible Deep Learning Specialization

This article describes the Versatile Tensor Accelerator (VTA), a programmable DL architecture designed to be extensible in the face of evolving workloads. VTA achieves “flexible specialization” via a parameterizable architecture, two-level Instruction Set Architecture (ISA), and a Just in Time (JIT)...

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Bibliographic Details
Published in:IEEE MICRO Vol. 39; no. 5; pp. 8 - 16
Main Authors: Moreau, Thierry, Chen, Tianqi, Vega, Luis, Roesch, Jared, Yan, Eddie, Zheng, Lianmin, Fromm, Josh, Jiang, Ziheng, Ceze, Luis, Guestrin, Carlos, Krishnamurthy, Arvind
Format: Journal Article
Language:English
Published: Los Alamitos IEEE 01-09-2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Architecture
Computational modeling
Computer architecture
Deep learning
Just in time
Machine learning
Runtime
Task analysis
Tensors
Online Access:Get full text
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Summary:This article describes the Versatile Tensor Accelerator (VTA), a programmable DL architecture designed to be extensible in the face of evolving workloads. VTA achieves “flexible specialization” via a parameterizable architecture, two-level Instruction Set Architecture (ISA), and a Just in Time (JIT) compiler.
ISSN:0272-1732
1937-4143
DOI:10.1109/MM.2019.2928962