Fair and Comprehensive Benchmarking of Machine Learning Processing Chips

被引：13

作者：

Burr, Geoffrey W. ^{[1
]}

Lim, SukHwan ^{[2
]}

Murmann, Boris ^{[3
]}

Venkatesan, Rangharajan ^{[4
]}

Verhelst, Marian ^{[5
,6
]}

机构：

[1] IBM Res Almaden, Cupertino, CA 95014 USA

[2] Samsung, Hwaseong Si 18448, South Korea

[3] Stanford Univ, Stanford, CA 94305 USA

[4] NVIDIA Corp, Santa Clara, CA 95051 USA

[5] MICAS KU Leuven, B-3001 Heverlee, Belgium

[6] IMEC, B-3001 Heverlee, Belgium

来源：

IEEE DESIGN & TEST | 2022年 / 39卷 / 03期

关键词：

YY Benchmark testing; Computer architecture; Measurement; Integrated circuit modeling; Best practices; Computational modeling; AI processing; ML accelerator; chip evaluation; benchmarking; deep learning; architecture; circuit; ACCELERATOR;

D O I：

10.1109/MDAT.2021.3063366

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article provides an overview of benchmarking strategies at a different set of abstraction levels and related best practices in each, while working to also give an overall view of impact. © 2013 IEEE.

引用

页码：18 / 27

页数：10

共 35 条

[1]

[Anonymous], AITUTU BENCHMARK

[2]

Banbury C.R., 2020, Benchmarking TinyML systems: Challenges and direction

[3] An Always-On 3.8 μJ/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS [J].

Bankman, Daniel ;

Yang, Lita ;

Moons, Bert ;

Verhelst, Marian ;

Murmann, Boris .

IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2019, 54 (01) :158-172

[4]

Bankman D, 2016, IEEE ASIAN SOLID STA, P21, DOI 10.1109/ASSCC.2016.7844125

[5] Neuromorphic computing using non-volatile memory [J].

Burr, Geoffrey W. ;

Shelby, Robert M. ;

Sebastian, Abu ;

Kim, Sangbum ;

Kim, Seyoung ;

Sidler, Severin ;

Virwani, Kumar ;

Ishii, Masatoshi ;

Narayanan, Pritish ;

Fumarola, Alessandro ;

Sanches, Lucas L. ;

Boybat, Irem ;

Le Gallo, Manuel ;

Moon, Kibong ;

Woo, Jiyoo ;

Hwang, Hyunsang ;

Leblebici, Yusuf .

ADVANCES IN PHYSICS-X, 2017, 2 (01) :89-124

[6]

Cai H, 2019, INT C LEARN REPR

[7]

Camus V, 2019, 2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2019), P57, DOI [10.1109/AICAS.2019.8771610, 10.1109/aicas.2019.8771610]

[8] Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices [J].

Chen, Yu-Hsin ;

Yange, Tien-Ju ;

Emer, Joel S. ;

Sze, Vivienne .

IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2019, 9 (02) :292-308

[9]

Ding Z, 2020, ARXIV200106679

[10] Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10-μW Keyword Spotting and Speaker Verification [J].

Giraldo, Juan Sebastian P. ;

Lauwereins, Steven ;

Badami, Komail ;

Verhelst, Marian .

IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2020, 55 (04) :868-878

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