Benchmarking, Measuring, and Optimizing 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers
by
 
Gainaru, Ana. editor.

Title
Benchmarking, Measuring, and Optimizing 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers

Author
Gainaru, Ana. editor.

ISBN
9783031311802

Edition
1st ed. 2023.

Physical Description
XVIII, 177 p. 62 illus., 52 illus. in color. online resource.

Series
Lecture Notes in Computer Science, 13852

Contents
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.

Added Author
Gainaru, Ana.
 
Zhang, Ce.
 
Luo, Chunjie.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-31180-2


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520861-1001ONLINEElektronik Kütüphane