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Titolo: |
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) / / Institute of Electrical and Electronics Engineers
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Pubblicazione: | Piscataway, New Jersey : , : IEEE, , 2021 |
Descrizione fisica: | 1 online resource (vii, 108 pages) |
Disciplina: | 006.31 |
Soggetto topico: | Machine learning |
Sommario/riassunto: | The intent of this workshop is to bring together researchers, practitioners, and scientific communities to discuss methods that utilize extreme scale systems for machine learning This workshop will focus on the greatest challenges in utilizing HPC for machine learning and methods for exploiting data parallelism, model parallelism, ensembles, and parameter search We invite researchers and practitioners to participate in this workshop to discuss the challenges in using HPC for machine learning and to share the wide range of applications that would benefit from HPC powered machine learning. |
Altri titoli varianti: | 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments |
Titolo autorizzato: | 2021 IEEE ![]() |
ISBN: | 1-66541-124-4 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910554017003321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |