© 2020

Benchmarking, Measuring, and Optimizing

Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14–16, 2019, Revised Selected Papers

  • Wanling Gao
  • Jianfeng Zhan
  • Geoffrey Fox
  • Xiaoyi Lu
  • Dan Stanzione
Conference proceedings Bench 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12093)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12093)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Best Paper Session

    1. Front Matter
      Pages 1-1
    2. Khaled Z. Ibrahim, Samuel Williams, Leonid Oliker
      Pages 3-19
  3. AI Challenges on Cambricon Using AIBench

    1. Front Matter
      Pages 49-49
    2. Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng
      Pages 51-56
    3. Jiansong Li, Zihan Jiang
      Pages 57-66
    4. Peng He, Ge Chen, Kai Deng, Ping Yao, Li Fu
      Pages 75-82
  4. AI Challenges on RISC-V Using AIBench

    1. Front Matter
      Pages 83-83
    2. Pengpeng Hou, Jiageng Yu, Yuxia Miao, Yang Tai, Yanjun Wu, Chen Zhao
      Pages 85-90
  5. AI Challenges on X86 Using AIBench

    1. Front Matter
      Pages 99-99
    2. Weixin Deng, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo
      Pages 101-109
    3. Maosen Chen, Tun Chen, Qianyun Chen
      Pages 116-122
    4. Yi Liang, Shaokang Zeng, Yande Liang, Kaizhong Chen
      Pages 123-137
  6. AI Challenges on 3D Face Recognition Using AIBench

    1. Front Matter
      Pages 139-139

About these proceedings


This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019.

The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions.

The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using AIBench; AI Challenges on X86 using AIBench; AI Challenges on 3D Face Recognition using AIBench; Benchmark; AI and Edge; Big Data; Datacenter; Performance Analysis; Scientific Computing.


artificial intelligence computer hardware computer programming computer systems computer vision databases distributed computer systems distributed systems education machine learning microprocessor chips parallel architectures parallel processing systems processors software architecture software design

Editors and affiliations

  1. 1.Institute of Computing Technology, Chinese Academy of SciencesBeijingChina
  2. 2.Institute of Computing Technology, Chinese Academy of SciencesBeijingChina
  3. 3.School of Informatics, Computing, and EngineeringIndiana UniversityBloomingtonUSA
  4. 4.Department of Computer Science and EngineeringThe Ohio State UniversityColumbusUSA
  5. 5.Texas Advanced Computing CenterThe University of Texas at AustinAustinUSA

Bibliographic information

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