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Benchmarking, measuring, and optimiz...
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International Symposium on Benchmarking, Measuring, and Optimization (2022 :)
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Benchmarking, measuring, and optimizing = 14th BenchCouncil International Symposium, Bench 2022, virtual event, November 7-9, 2022 : revised selected papers /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Benchmarking, measuring, and optimizing/ edited by Ana Gainaru, Ce Zhang, Chunjie Luo.
其他題名:
14th BenchCouncil International Symposium, Bench 2022, virtual event, November 7-9, 2022 : revised selected papers /
其他題名:
Bench 2022
其他作者:
Gainaru, Ana.
團體作者:
International Symposium on Benchmarking, Measuring, and Optimization
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
1 online resource (xviii, 177 p.) :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Electronic data processing - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-31180-2
ISBN:
9783031311802
Benchmarking, measuring, and optimizing = 14th BenchCouncil International Symposium, Bench 2022, virtual event, November 7-9, 2022 : revised selected papers /
Benchmarking, measuring, and optimizing
14th BenchCouncil International Symposium, Bench 2022, virtual event, November 7-9, 2022 : revised selected papers /[electronic resource] :Bench 2022edited by Ana Gainaru, Ce Zhang, Chunjie Luo. - Cham :Springer International Publishing :2023. - 1 online resource (xviii, 177 p.) :ill., digital ;24 cm. - Lecture notes in computer science,138521611-3349 ;. - Lecture notes in computer science ;13852..
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.
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.
ISBN: 9783031311802
Standard No.: 10.1007/978-3-031-31180-2doiSubjects--Topical Terms:
660077
Electronic data processing
--Congresses.
LC Class. No.: QA75.5
Dewey Class. No.: 004
Benchmarking, measuring, and optimizing = 14th BenchCouncil International Symposium, Bench 2022, virtual event, November 7-9, 2022 : revised selected papers /
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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.
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