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Benchmarking, Measuring, and Optimizing: 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 177 pages, height x width: 235x155 mm, weight: 308 g, 52 Illustrations, color; 10 Illustrations, black and white; XVIII, 177 p. 62 illus., 52 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13852
  • Izdošanas datums: 13-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031311795
  • ISBN-13: 9783031311796
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  • Mīkstie vāki
  • Cena: 51,37 €*
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  • Formāts: Paperback / softback, 177 pages, height x width: 235x155 mm, weight: 308 g, 52 Illustrations, color; 10 Illustrations, black and white; XVIII, 177 p. 62 illus., 52 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13852
  • Izdošanas datums: 13-May-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031311795
  • ISBN-13: 9783031311796
Citas grāmatas par šo tēmu:
This 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.

Architecture 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.