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Benchmarking, Measuring, and Optimizing

15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Sascha Hunold

    1. TU Wien, Vienna, Austria

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  2. Biwei Xie

    1. Chinese Academy of Sciences, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Kai Shu

    1. Illinois Institute of Technology, Chicago, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14521)

Included in the following conference series:

Conference proceedings info: Bench 2023.

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Table of contents (11 papers)

  1. Front Matter

    Pages i-xvi
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  2. ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education

    • Zhenying Li, Zishu Yu, Lian Zhai, Xiaohui Peng, Zhiwei Xu
    Pages 1-17

  3. Generating High Dimensional Test Data for Topological Data Analysis

    • Rohit P. Singh, Nicholas O. Malott, Blake Sauerwein, Neil Mcgrogan, Philip A. Wilsey
    Pages 18-37

  4. Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields

    • Yatao Li, Wanling Gao, Lei Wang, Lixin Sun, Zun Wang, Jianfeng Zhan
    Pages 38-52

  5. MolBench: A Benchmark of AI Models for Molecular Property Prediction

    • Xiuyu Jiang, Liqin Tan, Jianhuan Cen, Qingsong Zou
    Pages 53-70

  6. Cross-Layer Profiling of IoTBench

    • Fan Zhang, Chenxi Wang, Chunjie Luo, Lei Wang
    Pages 71-86

  7. MMDBench: A Benchmark for Hybrid Query in Multimodal Database

    • Along Mao, Chuan Hu, Chong Li, Huajin Wang, Junjian Rao, Kainan Wang et al.
    Pages 87-103

  8. Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data

    • Pouya Kousha, Qinghua Zhou, Hari Subramoni, Dhableswar K. Panda
    Pages 104-119

  9. A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads

    • Yikang Yang, Lei Wang, Jianfeng Zhan
    Pages 120-136

  10. AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models

    • Fei Tang, Wanling Gao, LuZhou Peng, Jianfeng Zhan
    Pages 137-152

  11. Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis

    • Zechun Zhou, Jingwei Sun, Guangzhong Sun
    Pages 153-170

  12. Hmem: A Holistic Memory Performance Metric for Cloud Computing

    • Yuyang Li, Ning Li, Yilei Zhang, Jianmei Guo, Bo Huang, Mengbang Xing et al.
    Pages 171-187

  13. Back Matter

    Pages 189-189
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Keywords

About this book

This 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.

Editors and Affiliations

  • TU Wien, Vienna, Austria

    Sascha Hunold

  • Chinese Academy of Sciences, Beijing, China

    Biwei Xie

  • Illinois Institute of Technology, Chicago, USA

    Kai Shu

Bibliographic Information

  • Book Title: Benchmarking, Measuring, and Optimizing

  • Book Subtitle: 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers

  • Editors: Sascha Hunold, Biwei Xie, Kai Shu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-981-97-0316-6

  • Publisher: Springer Singapore

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024

  • Softcover ISBN: 978-981-97-0315-9Published: 14 February 2024

  • eBook ISBN: 978-981-97-0316-6Published: 13 February 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 189

  • Number of Illustrations: 8 b/w illustrations, 70 illustrations in colour

  • Topics: Computer Applications

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