Viewing source data: IEEE_2937-2022 indexed from relaton-data-ieee IEEE 2937-2022
docid.type IEEE
docid.primary True IEEE 2937™-2022
docid#2.type IEEE
docid#2.primary True
docid#2.scope trademark 978-1-5044-8854-9
docid#3.type ISBN 10.1109/IEEESTD.2022.9930948
docid#4.type DOI
docnumber IEEE 2937-2022
language en
type standard
script Latn
date.value 2022
date.type created
date#2.value Jan. 19, 2023
date#2.type published
date#3.value June 16, 2022
date#3.type issued
title.content IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems
title.format text/plain
title.type main
abstract.content 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.
abstract.format text/plain
abstract.script Latn
abstract.language en
revdate Jan. 19, 2023
contributor.role.type publisher Institute of Electrical and Electronics Engineers New York USA
contributor.organization.abbreviation.content IEEE
keyword IEEE Standards
keyword#2 Benchmark testing
keyword#3 Artificial intelligence
keyword#4 Servers
keyword#5 Performance evaluation
keyword#6 artificial intelligence (AI)
keyword#7 artificial intelligence computing
keyword#8 artificial intelligence server system
keyword#9 IEEE 2937
keyword#10 performance benchmarking
keyword#11 performance benchmarking tool
ext.schema-version v1.0.0
ics.code 35.240.01
ics.text Application of information technology in general
editorialgroup.committee Artificial Intelligence Standards Committee of the IEEE Computer Society
docstatus.stage.value approved
schema-version v1.2.1
id IEEE2937-2022