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The Journal of Supercomputing
Erschienen in: The Journal of Supercomputing 1/2020

26.10.2019

Survey of external memory large-scale graph processing on a multi-core system

verfasst von: Jianqiang Huang, Wei Qin, Xiaoying Wang, Wenguang Chen

Erschienen in: The Journal of Supercomputing | Ausgabe 1/2020

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Abstract

The fast development of big data computing contributes to the fact that large-scale graph processing has become a basic computing model in both academic and industrial communities, and it has been applied in many actual big data computing works, such as social network analysis, Web search, and product promotion. These computing works include large-scale graphs of billions of vertices and trillions of edges. Such scale has brought many challenges to large-scale graph processing. This paper mainly introduces the essential features and challenges of large-scale graph processing and how we can handle billions of edges on a multi-core machine, for which we represent out-of-core processing system and semi-external memory processing systems. This paper also summarizes the key technologies in graph processing systems and forecasts the future development of large-scale graph processing systems.
Vorheriger Artikel Optimizing the parameters of the Lustre-file-system-based HPC system for reverse time migration
Nächster Artikel Effective data prediction method for in-memory database applications

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Metadaten
Titel
Survey of external memory large-scale graph processing on a multi-core system
verfasst von
Jianqiang Huang
Wei Qin
Xiaoying Wang
Wenguang Chen
Publikationsdatum
26.10.2019
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 1/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-019-03023-0

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