LEADER 01706nam 2200349 450 001 996574813003316 005 20230421084822.0 010 $a1-66541-124-4 035 $a(CKB)5590000000639601 035 $a(NjHacI)995590000000639601 035 $a(EXLCZ)995590000000639601 100 $a20230421d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cIEEE,$d2021. 215 $a1 online resource (vii, 108 pages) 311 $a1-66541-125-2 330 $aThe 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. 517 $a2021 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 $a996574813003316 996 $a2021 IEEE$92518023 997 $aUNISA