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[null,"1.","Record Nr.",null,"UNISA996574979603316"]
[null,null,"Titolo",null,"\"2937-2022 - IEEE Standard for Performance Benchmarking for Artificial Intelligence Server Systems\" / / IEEE"]
[null,null,"Pubbl/distr/stampa",null,"New York : , : IEEE, , 2022"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"1-5044-8854-7"]
[null,null,"Descrizione fisica",null,"1 online resource (54 pages)"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"High performance computing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","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."]