LEADER 01783nam 2200349 450 001 996574637103316 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 $a996574637103316 996 $a2020 IEEE$92494457 997 $aUNISA