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Big Scientific Data Benchmarks, Arch...
~
Zheng, Chen.
Big Scientific Data Benchmarks, Architecture, and Systems = First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Big Scientific Data Benchmarks, Architecture, and Systems/ edited by Rui Ren, Chen Zheng, Jianfeng Zhan.
Reminder of title:
First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers /
other author:
Ren, Rui.
Description:
XI, 123 p. 54 illus., 37 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computers. -
Online resource:
https://doi.org/10.1007/978-981-13-5910-1
ISBN:
9789811359101
Big Scientific Data Benchmarks, Architecture, and Systems = First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers /
Big Scientific Data Benchmarks, Architecture, and Systems
First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers /[electronic resource] :edited by Rui Ren, Chen Zheng, Jianfeng Zhan. - 1st ed. 2019. - XI, 123 p. 54 illus., 37 illus. in color.online resource. - Communications in Computer and Information Science,9111865-0929 ;. - Communications in Computer and Information Science,498.
Benchmarking -- Performance optimization -- Algorithms -- Big science data framework.
This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA 2018, held in Beijing, China, in June 2018. The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework.
ISBN: 9789811359101
Standard No.: 10.1007/978-981-13-5910-1doiSubjects--Topical Terms:
565115
Computers.
LC Class. No.: QA75.5-76.95
Dewey Class. No.: 005.7
Big Scientific Data Benchmarks, Architecture, and Systems = First Workshop, SDBA 2018, Beijing, China, June 12, 2018, Revised Selected Papers /
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