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IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems
IEEE Std 2937-2022
| contributor author | IEEE - The Institute of Electrical and Electronics Engineers, Inc. | |
| date accessioned | 2023-08-07T18:46:27Z | |
| date available | 2023-08-07T18:46:27Z | |
| date copyright | 14 September 2022 | |
| date issued | 2022 | |
| identifier other | 9930948.pdf | |
| identifier uri | http://yse.yabesh.ir/std;jsein=authtria/handle/yse/329582 | |
| description abstract | 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. | |
| language | English | |
| title | IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems | en |
| title | IEEE Std 2937-2022 | num |
| type | Standard | |
| page | 54 | |
| tree | IEEE - The Institute of Electrical and Electronics Engineers, Inc.:;2022 | |
| contenttype | Fulltext | |
| subject keywords | performance benchmarking | |
| subject keywords | IEEE 2937 | |
| subject keywords | artificial intelligence server system | |
| subject keywords | artificial intelligence computing | |
| subject keywords | artificial intelligence (AI) | |
| subject keywords | performance benchmarking tool | |
| identifier DOI | 10.1109/IEEESTD.2022.9930948 |
