LEADER 02332nam 2200457 450 001 9910580193303321 005 20230822182638.0 035 $a(CKB)5860000000055163 035 $a(NjHacI)995860000000055163 035 $a(EXLCZ)995860000000055163 100 $a20230822d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPERMAVOST '22 $eproceedings of the 2nd Workshop on Performance EngineeRing, Modelling, Analysis, and VisualizatiOn Strategy : June 30, 2022, Minneapolis, MN, USA /$fprogram chairs, Connor Scully-Allison,Radita Liem, Ana Veroneze Solorzano 210 1$aNew York :$cAssociation for Computing Machinery,$d2022. 215 $a1 online resource (30 pages) $cillustrations 225 0 $aACM Conferences 300 $aIncludes index. 311 $a1-4503-9314-4 330 $aIt is our great pleasure to welcome you to the 22nd Workshop on Performance Engineering, Modelling, Analysis, and Visualization Strategy - PERMAVOST 2022.Modern software engineering is getting increasingly complicated. In the HPC field, we are dealing with cutting-edge infrastructure and a novel problem on an unprecedented scale. The scale here is not only in terms of the HPC infrastructure but also, in terms of the people involved. Modernday HPC projects involve a wide variety of experts. From application analysts, and tools developers to domain scientists, all with varying degrees of knowledge in HPC performance analysis. We created this workshop in the hope of bridging these stakeholders, creating a robust feedback loop to answer future challenges in performance modeling, analysis, engineering, and visualization. 606 $aComputer science$vCongresses 606 $aInformation storage systems 606 $aMachine learning$vCongresses 606 $aPerformance$vCongresses 615 0$aComputer science 615 0$aInformation storage systems. 615 0$aMachine learning 615 0$aPerformance 676 $a004 702 $aScully-Allison$b Connor 702 $aLiem$b Radita 702 $aSolorzano$b Ana Veroneze 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910580193303321 996 $aPERMAVOST '22$93474535 997 $aUNINA