Scalable and efficient graph traversal on high-throughput cluster

Author:

Fan Dongrui,Cao HuaweiORCID,Wang Guobo,Nie Na,Ye Xiaochun,Sun Ninghui

Funder

National Basic Research Program of China (973 Program)

Strategic Priority Research Program of Chinese Academy of Sciences

National Natural Science of China

Innovation Project of the State Key Laboratory of Computer Architecture

Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing

Publisher

Springer Science and Business Media LLC

Subject

Community and Home Care

Reference22 articles.

1. Ang, J., Barrett, B., Wheeler, K., Murphy, R.: Introducing the Graph 500. Cray User’s Group (CUG) (2010)

2. Bader, D.A., Madduri, K.: SNAP, Small-world network analysis and partitioning: an open-source parallel graph framework for the exploration of large-scale networks. In: Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on, (2008)

3. Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)

4. Barabasi, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999). https://doi.org/10.1126/science.286.5439.509

5. Beamer, S., Buluç, A., Asanovic, K., Patterson, D.: Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search. IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, pp 1618–1627 (2013). https://doi.org/10.1109/IPDPSW.2013.159.

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