Improving the efficiency of graph algorithm executions on high‐performance computing

Summary The growing need for extracting information from large graphs has been pushing the development of parallel graph algorithms. However, the highly irregular structure of the real‐world graphs limits the performance and energy improvements of graph applications. In this paper, we show that, in...

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Bibliographic Details

Published in:	Concurrency and computation Vol. 35; no. 18
Main Authors:	Moori, Marcelo K., A. Rocha, Hiago Mayk G., Schwarzrock, Janaina, Lorenzon, Arthur F., Beck, Antonio Carlos S.
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 15.08.2023
Subjects:	Algorithms Efficiency Energy consumption energy‐saving graph analytics Graphs High performance computing Microprocessors Multiprocessing multiprogramming parallel graph processing system efficiency
ISSN:	1532-0626, 1532-0634
Online Access:	Get full text
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