Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12614)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: Bench 2020.
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Table of contents (13 papers)
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Front Matter
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Data Management and Storage
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Front Matter
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Supercomputing
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Front Matter
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Benchmarking on GPU
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Front Matter
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Back Matter
Other volumes
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Benchmarking, Measuring, and Optimizing
Keywords
About this book
The 12 revised full papers and 1 revised short paper presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections named: best paper session; data management and storage; supercomputing; benchmarking on GPU; and application and dataset.
Editors and Affiliations
Bibliographic Information
Book Title: Benchmarking, Measuring, and Optimizing
Book Subtitle: Third BenchCouncil International Symposium, Bench 2020, Virtual Event, November 15–16, 2020, Revised Selected Papers
Editors: Felix Wolf, Wanling Gao
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-71058-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-71057-6Published: 02 March 2021
eBook ISBN: 978-3-030-71058-3Published: 01 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 233
Number of Illustrations: 25 b/w illustrations, 82 illustrations in colour
Topics: Computer Applications, Computer System Implementation, Computer Communication Networks, Special Purpose and Application-Based Systems