Benchmarking, Measuring, and Optimizing
First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers
Editors: Zheng, Chen, Zhan, Jianfeng (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the First International Symposium on Benchmarking, Measuring, and Optimization, Bench 2018, held in Seattle, WA, USA, in December 2018.
The 20 full papers presented were carefully reviewed and selected from 51 submissions.
The papers are organized in topical sections named: AI Benchmarking; Cloud; Big Data; Modelling and Prediction; and Algorithm and Implementations.
- Table of contents (21 chapters)
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AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking
Pages 3-9
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HPC AI500: A Benchmark Suite for HPC AI Systems
Pages 10-22
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Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking
Pages 23-30
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AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence
Pages 31-35
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A Survey on Deep Learning Benchmarks: Do We Still Need New Ones?
Pages 36-49
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Table of contents (21 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Benchmarking, Measuring, and Optimizing
- Book Subtitle
- First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers
- Editors
-
- Chen Zheng
- Jianfeng Zhan
- Series Title
- Information Systems and Applications, incl. Internet/Web, and HCI
- Series Volume
- 11459
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-32813-9
- DOI
- 10.1007/978-3-030-32813-9
- Softcover ISBN
- 978-3-030-32812-2
- Edition Number
- 1
- Number of Pages
- XI, 262
- Number of Illustrations
- 51 b/w illustrations, 69 illustrations in colour
- Topics