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Author Nguyen, Donald ♦ Lenharth, Andrew ♦ Pingali, Keshav
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Data-centric abstractions and execution strategies are needed to exploit parallelism in large-scale graph analytics.
Description Affiliation: University of Texas at Austin (Lenharth, Andrew; Nguyen, Donald; Pingali, Keshav)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 59
Issue Number 5
Page Count 10
Starting Page 78
Ending Page 87

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Source: ACM Digital Library