LEADER 01785nam  2200349   450 
001 9910469132503321
005 20230421085634.0
010   $a1-66542-291-2
035   $a(CKB)5590000000454433
035   $a(NjHacI)995590000000454433
035   $a(EXLCZ)995590000000454433
100   $a20230421d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$a2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) /$fInstitute of Electrical and Electronics Engineers
210  1$aPiscataway, New Jersey :$cIEEE,$d2020.
215   $a1 online resource (103 pages)
311   $a1-66544-655-2 
330   $aThis 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.
517   $a2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments 
606   $aMachine learning$vCongresses
615  0$aMachine learning
676   $a006.31
801  0$bNjHacI
801  1$bNjHacl
906   $aPROCEEDING
912   $a9910469132503321
996   $a2020 IEEE$92494457
997   $aUNINA