LEADER 01949nam 2200349 450 001 996575124103316 005 20230420224527.0 010 $a1-66547-262-6 035 $a(CKB)5590000001028473 035 $a(NjHacI)995590000001028473 035 $a(EXLCZ)995590000001028473 100 $a20230420d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV) /$fIEEE Computer Society 210 1$a[Place of publication not identified] :$cIEEE Computer Society,$d2022. 215 $a1 online resource 311 $a1-66547-263-4 330 $aThe workshop brings together researchers, developers and practitioners from industry, academia, and government laboratories developing, applying, and deploying in situ methods in extreme scale, high performance computing The goal is to present research findings, lessons learned, and insights related to developing and applying in situ methods and infrastructure across a range of science and engineering applications in HPC environments to discuss topics like opportunities presented by new architectures, existing infrastructure needs, requirements, and gaps, and experiences to foster and enable in situ analysis and visualization to serve as a center of gravity for researchers, practitioners, and users consumers of in situ methods and infrastructure in the HPC space. 517 $a2022 IEEE/ACM International Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization 606 $aHigh performance computing$vCongresses 615 0$aHigh performance computing 676 $a004.11 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a996575124103316 996 $a2022 IEEE$92807321 997 $aUNISA