FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers-Reference-Cited by-同舟云学术

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FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers

Published:2021-09-30 Issue:5 Volume:36 Page:1051-1070
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Wu Yu-Wei,Wang Qing-Gang,Zheng Long,Liao Xiao-Fei,Jin Hai,Jiang Wen-Bin,Zheng Ran,Hu Kan

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-021-1242-y.pdf

Reference39 articles.

1. Quick L, Wilkinson P, Hardcastle D. Using Pregel-like large scale graph processing frameworks for social network analysis. In Proc. the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Aug. 2012, pp.457-463. https://doi.org/10.1109/ASONAM.2012.254.

2. Aridhi S, Montresor A, Velegrakis Y. BLADYG: A novel block-centric framework for the analysis of large dynamic graphs. In Proc. the ACM Workshop on High Performance Graph Processing, May 2016, pp.39-42. https://doi.org/10.1016/j.bdr.2017.05.003.

3. Wang Y, Davidson A, Pan Y, Wu Y, Riffel A, Owens J D. Gunrock: A high-performance graph processing library on the GPU. In Proc. the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Mar. 2016, Article No. 11. https://doi.org/10.1145/2851141.2851145.

4. Warnke-Sommer J, Ali H. Graph mining for next generation sequencing: Leveraging the assembly graph for biological insights. BMC Genomics, 2016, 17(1): Article No. 340. https://doi.org/10.1186/s12864-016-2678-2.

5. Dai G, Chi Y, Wang Y, Yang H. FPGP: Graph processing framework on FPGA—A case study of breadth-first search. In Proc. the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Feb. 2016, pp.105-110. https://doi.org/10.1145/2847263.2847339.

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3. Rethinking Design Paradigm of Graph Processing System with a CXL-like Memory Semantic Fabric;2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid);2023-05

4. FPGA sharing in the cloud: a comprehensive analysis;Frontiers of Computer Science;2022-12-24

5. GraFF: A Multi-FPGA System with Memory Semantic Fabric for Scalable Graph Processing;2022 International Conference on Field-Programmable Technology (ICFPT);2022-12-05

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