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Author Bader, David A. ♦ Riedy, Jason
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Analyzing massive streaming graphs efficiently requires new algorithms, data structures, and computing platforms.
Description Affiliation: School of Computational Science and Engineering at Georgia Tech (Riedy, Jason) || School of Computational Science and Engineering, College of Computing, at Georgia Institute of Technology (Bader, David A.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 19
Issue Number 3
Page Count 7
Starting Page 37
Ending Page 43

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Source: ACM Digital Library