Graph Processing on GPUs
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2018/01/03
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Journal
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Indian UGC (journal)
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Refrences92
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Citations44
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Xuanhua Shi Services Computing Technology and System Lab/Big Data Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China ORCID (unauthenticated)
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Zhigao Zheng Services Computing Technology and System Lab/Big Data Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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Yongluan Zhou Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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Hai Jin Services Computing Technology and System Lab/Big Data Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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Ligang He Department of Computer Science, University of Warwick, Coventry, United Kingdom
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Bo Liu Services Computing Technology and System Lab/Big Data Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
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Qiang-Sheng Hua Services Computing Technology and System Lab/Big Data Technology and System Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
Abstract
Cite
Shi, Xuanhua, et al. “Graph Processing on GPUs”. ACM Computing Surveys, vol. 50, no. 6, 2018, pp. 1-35, https://doi.org/10.1145/3128571.
Shi, X., Zheng, Z., Zhou, Y., Jin, H., He, L., Liu, B., & Hua, Q.-S. (2018). Graph Processing on GPUs. ACM Computing Surveys, 50(6), 1-35. https://doi.org/10.1145/3128571
Shi X, Zheng Z, Zhou Y, Jin H, He L, Liu B, et al. Graph Processing on GPUs. ACM Computing Surveys. 2018;50(6):1-35.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Edge v. node parallelism for graph centrality metrics | 2011 | |||
| Proceedings of 2015 USENIX Annual Technical Conference (USENIX ATC’15) | 2015 | |||
| Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI’12) | 2012 | |||
| Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI’12) | 2012 | |||
| Fagginger Auer and Rob H. Bisseling | 2012 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| The emergence of compositionality in a brain-inspired cognitive architecture | Cognitive Systems Research | 2024 | ||
| Starlight: A kernel optimizer for GPU processing | Journal of Parallel and Distributed Computing |
| 2024 | |
| Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| 2024 | |
Adaptive update handling for graph HTAP | Distributed and Parallel Databases |
| 2023 | |
| A survey on dynamic graph processing on GPUs: concepts, terminologies and systems | Frontiers of Computer Science |
| 2023 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 27
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Communication Network Time Series Prediction Algorithm Based on Big Data Method and was published in 2017. The most recent citation comes from a 2024 study titled The emergence of compositionality in a brain-inspired cognitive architecture. This article reached its peak citation in 2018, with 9 citations. It has been cited in 33 different journals, 18% of which are open access. Among related journals, the Cognitive Systems Research cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.