LEADER 03483nam 22004815 450 001 996587862003316 005 20240213195420.0 010 $a981-9703-16-6 024 7 $a10.1007/978-981-97-0316-6 035 $a(MiAaPQ)EBC31151247 035 $a(Au-PeEL)EBL31151247 035 $a(DE-He213)978-981-97-0316-6 035 $a(EXLCZ)9930362860800041 100 $a20240213d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBenchmarking, Measuring, and Optimizing$b[electronic resource] $e15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3?5, 2023, Revised Selected Papers /$fedited by Sascha Hunold, Biwei Xie, Kai Shu 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (201 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14521 311 08$aPrint version: Hunold, Sascha Benchmarking, Measuring, and Optimizing Singapore : Springer,c2024 9789819703159 327 $aICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education -- Generating High Dimensional Test Data for Topological Data Analysis -- Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields -- MolBench: A Benchmark of AI Models for Molecular Property Prediction -- Cross-Layer Profiling of IoTBench -- MMDBench: A Benchmark for Hybrid Query in Multimodal Database -- Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data -- A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads -- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. 330 $aThis book constitutes the refereed proceedings of the 14th BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2023, held in Sanya, China, during December 3?5, 2023. The 11 full papers included in this book were carefully reviewed and selected from 20 submissions. The Bench symposium invites papers that exhibit three defining characteristics: (1) It provides a high-quality, single-track forum for presenting results and discussing ideas that further the knowledge and understanding of the benchmark community; (2) It is a multi-disciplinary conference, attracting researchers and practitioners from different communities, including architecture, systems, algorithms, and applications; (3) The program features both invited and contributed talks. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14521 606 $aApplication software 606 $aComputer and Information Systems Applications 615 0$aApplication software. 615 14$aComputer and Information Systems Applications. 676 $a005.3 700 $aHunold$b Sascha$01726284 701 $aXie$b Biwei$01726285 701 $aShu$b Kai$01726286 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996587862003316 996 $aBenchmarking, Measuring, and Optimizing$94131995 997 $aUNISA