IEEE 2937-2022

$37.92

IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems

Published By	Publication Date	Number of Pages
IEEE	2022

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Description

New IEEE Standard – Active. Artificial intelligence (AI) computing differs from generic computing in terms of device formation, operators, and usage. AI server systems, including AI server, cluster, and high-performance computing (HPC) infrastructures are designed specifically for this purpose. The performance of these infrastructures is important to users not only on generic models but also on the ones for specific domains. Formal methods for the performance benchmarking for AI server systems are provided in this standard, including approaches for test, metrics, and measure. In addition, the technical requirements for benchmarking tools are discussed.

PDF Catalog

PDF Pages	PDF Title
1	IEEE Std 2937-2022 Front cover
2	Title page
4	Important Notices and Disclaimers Concerning IEEE Standards Documents
8	Participants
10	Introduction
11	Contents
12	1. Overview 1.1 Scope 1.2 Word usage 2. Normative references
13	3. Definitions, acronyms, and abbreviations 3.1 Definitions
14	3.2 Acronyms and abbreviations
15	4. AI server system performance benchmarking framework 4.1 Overview 4.2 Modes of test
16	4.3 Information of a test
17	5. Training test 5.1 Overview
19	5.2 Scenarios
23	5.3 Metrics and measure approach
29	5.4 Requirement on toolkit
31	6. Inference test 6.1 Overview
32	6.2 Workload
33	6.3 Scenarios
36	6.4 Metrics and measure approach
43	6.5 Requirement on toolkit
45	Annex A (informative) Utilization ratio
46	Annex B (normative) Rules for the selection and use of power measurement devices B.1 Power meter
47	B.2 BMC
50	Annex C (informative) Effective computing ability C.1 Effective computing ability of training C.2 Effective computing ability of inference
51	Annex D (informative) Extra computing jobs for “mixed” query arrival mode D.1 File operation D.2 Balanced binary tree search
52	Annex E (informative) Bibliography
54	Back cover