Exploring big graph computing — An empirical study from architectural perspective-Reference-Cited by-同舟云学术

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Exploring big graph computing — An empirical study from architectural perspective

Published:2017-10 Issue: Volume:108 Page:122-137
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Nai Lifeng^ORCID,Xia Yinglong,Tanase Ilie G.,Kim Hyesoon

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference51 articles.

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4. M. Burtscher, R. Nasre, K. Pingali, A quantitative study of irregular programs on gpus, in: IISWC’12.

5. M. Canim, Y.-C. Chang, System G data store: Big, rich graph data analytics in the cloud, in: IC2E’13.

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