LEADER 01968nam 2200349 450 001 996574829303316 005 20230421092637.0 010 $a1-66541-128-7 035 $a(CKB)5590000000639605 035 $a(NjHacI)995590000000639605 035 $a(EXLCZ)995590000000639605 100 $a20230421d2021 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA) /$fInstitute of Electrical and Electronics Engineers 210 1$aPiscataway, New Jersey :$cIEEE,$d2021. 215 $a1 online resource (51 pages) 311 $a1-66541-129-5 330 $aNovel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large scale systems This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count These extreme scale systems require novel scientific algorithms to hide network and memory latency, have very high computation communication overlap, have minimal communication, and have no synchronization points With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. 517 $a2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems 606 $aHigh performance computing$vCongresses 615 0$aHigh performance computing 676 $a004.11 801 0$bNjHacI 801 1$bNjHacl 906 $aPROCEEDING 912 $a996574829303316 996 $a2021 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA)$92812127 997 $aUNISA