LEADER 03230nam 22005535 450 001 9910725084403321 005 20230512104608.0 010 $a9783031311802$b(electronic bk.) 010 $z9783031311796 024 7 $a10.1007/978-3-031-31180-2 035 $a(MiAaPQ)EBC7248734 035 $a(Au-PeEL)EBL7248734 035 $a(DE-He213)978-3-031-31180-2 035 $a(BIP)089944803 035 $a(PPN)270612068 035 $a(CKB)26637847200041 035 $a(EXLCZ)9926637847200041 100 $a20230512d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBenchmarking, Measuring, and Optimizing $e14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers /$fedited by Ana Gainaru, Ce Zhang, Chunjie Luo 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (187 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13852 311 08$aPrint version: Gainaru, Ana Benchmarking, Measuring, and Optimizing Cham : Springer International Publishing AG,c2023 9783031311796 320 $aIncludes bibliographical references and index. 327 $aArchitecture and System -- A Quantitative Analysis of OpenMP Task Runtime Systems -- EAIBench: An Energy Efficiency Benchmark for AI Training -- MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-based IoT Deployments -- Algorithm and Dataset -- ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes -- Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network -- BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark -- Benchmarking Object Detection Models with Mummy Nuts Datasets -- Network and Memory -- An Analysis of Long-tailed Network Latency Distribution and Background Traffic on Dragonfly+ -- MCCBench: A C10M Benchmark Oriented to Interactive Network Services -- STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks. 330 $aThis book constitutes the refereed post-conference proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimization, Bench 2022, held virtually in November 2022. The 10 revised full papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: Architecture and System, Algorithm and Dataset, Network and Memory. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13852 606 $aApplication software 606 $aComputer and Information Systems Applications 610 $aMathematics 615 0$aApplication software. 615 14$aComputer and Information Systems Applications. 676 $a004 676 $a004 702 $aGainaru$b Ana 702 $aZhang$b Ce 702 $aLuo$b Chunjie 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910725084403321 996 $aBenchmarking, measuring, and optimizing$91901542 997 $aUNINA