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Benchmarking, Measuring, and Optimizing

14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ana Gainaru

    1. Oak Ridge National Laboratory, Oak Ridge, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ce Zhang

    1. ETH Zurich, Zürich, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  3. Chunjie Luo

    1. Chinese Academy of Sciences, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13852)

Included in the following conference series:

Conference proceedings info: Bench 2022.

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Table of contents (10 papers)

  1. Front Matter

    Pages i-xviii
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  2. Architecture and System

    1. Front Matter

      Pages 1-1
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    2. A Quantitative Analysis of OpenMP Task Runtime Systems

      • Sascha Hunold, Klaus Kraßnitzer
      Pages 3-18

    3. EAIBench: An Energy Efficiency Benchmark for AI Training

      • Fan Zhang, Chuanxin Lan, Lei Wang, Fei Tang, Shaopeng Dai, Jiangtao Wang et al.
      Pages 19-34

    4. MSDBench: Understanding the Performance Impact of Isolation Domains on Microservice-Based IoT Deployments

      • Sierra Wang, Fatih Bakir, Tyler Ekaireb, Jack Pearson, Chandra Krintz, Rich Wolski
      Pages 35-52

  3. Algorithm and Dataset

    1. Front Matter

      Pages 53-53
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    2. ShoeMaster: A Benchmark for Sketch2Image Translation of Shoes

      • Shiyuan Xu, Yingjie Shi, Tong Feng, Huayi Yuan
      Pages 55-69

    3. Open Source Software Supply Chain Recommendation Based on Heterogeneous Information Network

      • HaiMing Lin, Guanyu Liang, Yanjun Wu, Bin Wu, Chunqi Tian, Wei Wang
      Pages 70-86

    4. BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark

      • Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
      Pages 87-101

    5. Benchmarking Object Detection Models with Mummy Nuts Datasets

      • Darren Ng, Colin Schmierer, Andrew Lin, Zeyu Liu, Falin Yu, Shawn Newsam et al.
      Pages 102-119

  4. Network and Memory

    1. Front Matter

      Pages 121-121
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    2. An Analysis of Long-Tailed Network Latency Distribution and Background Traffic on Dragonfly+

      • Majid Salimi Beni, Biagio Cosenza
      Pages 123-142

    3. MCCBench: A C10M Benchmark Oriented to Interactive Network Services

      • Hui Song, Wenli Zhang, Mingyu Chen
      Pages 143-159

    4. STAMP-Rust: Language and Performance Comparison to C on Transactional Benchmarks

      • Felix Suchert, Jeronimo Castrillon
      Pages 160-175

  5. Back Matter

    Pages 177-177
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Keywords

About this book

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.

Editors and Affiliations

  • Oak Ridge National Laboratory, Oak Ridge, USA

    Ana Gainaru

  • ETH Zurich, Zürich, Switzerland

    Ce Zhang

  • Chinese Academy of Sciences, Beijing, China

    Chunjie Luo

Bibliographic Information

  • Book Title: Benchmarking, Measuring, and Optimizing

  • Book Subtitle: 14th BenchCouncil International Symposium, Bench 2022, Virtual Event, November 7-9, 2022, Revised Selected Papers

  • Editors: Ana Gainaru, Ce Zhang, Chunjie Luo

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-31180-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-31179-6Published: 13 May 2023

  • eBook ISBN: 978-3-031-31180-2Published: 12 May 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVIII, 177

  • Number of Illustrations: 10 b/w illustrations, 52 illustrations in colour

  • Topics: Computer Applications

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