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Journal of Computer Science and Technology ›› 2019, Vol. 34 ›› Issue (3): 690-706.doi: 10.1007/s11390-019-1936-6
Special Issue: Computer Architecture and Systems
• Computer Architecture and Systems • Previous Articles
Peng Zhao1,2, Student Member, CCF, Chen Ding3, Member, ACM, IEEE, Lei Liu1,*, Member, CCF, Jiping Yu4, Wentao Han4, Member, CCF, ACM, IEEE, Xiao-Bing Feng1,2, Member, CCF, ACM, IEEE
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NXgraph:An efficient graph processing system on a single machine. In Proc. the 32nd IEEE International Conference on Data Engineering, May 2016, pp.409-420. [7] Han W, Lee S, Park K, Lee J, Kim M, Kim J, Yu H. TurboGraph:A fast parallel graph engine handling billion-scale graphs in a single PC. In Proc. the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2013, pp.77-85. [8] Maass S, Min C, Kashyap S, Kang W, Kumar M, Kim T. Mosaic:Processing a trillion-edge graph on a single machine. In Proc. the 12th European Conference on Computer Systems, April 2017, pp.527-543. [9] Roy A, Mihailovic I, Zwaenepoel W. X-Stream:Edgecentric graph processing using streaming partitions. In Proc. the 24th ACM SIGOPS Symposium of Operating Systems Principles, November 2013, pp.472-488. [10] Vora K, Xu G Q, Gupta R. Load the edges you need:A generic I/O optimization for disk-based graph processing.In Proc. the 2016 USENIX Annual Technical Conference, June 2016, pp.507-522. [11] Zhang Y, Liao X, Jin H, Gu L, Tan G, Zhou B. HotGraph:Efficient asynchronous processing for real-world graphs. IEEE Transactions on Computers, 2017, 66(5):799-809. [12] Zhu X, Han W, Chen W. GridGraph:Large-scale graph processing on a single machine using 2-level hierarchical partitioning. In Proc. the 2015 USENIX Annual Technical Conference, July 2015, pp.375-386. [13] Kyrola A, Blelloch E G, Guestrin C. GraphChi:Large-scale graph computation on just a PC. In Proc. the 10th USENIX Symposium on Operating Systems Design and Implementation, October 2012, pp.31-46. [14] Zheng D, Mhembere D, Burns C R, Vogelstein T J, Priebe E C, Szalay S A. FlashGraph:Processing billion-node graphs on an array of commodity SSDs. In Proc. the 13th USENIX Conference on File and Storage Technologies, February 2015, pp.45-58. [15] Nguyen D, Lenharth A, Pingali K. A lightweight infrastructure for graph analytics. In Proc. the 24th ACM SIGOPS Symposium on Operating Systems Principles, November 2013, pp.456-471. [16] Chhugani J, Satish N, Kim C, Sewall J, Dubey P. Fast and efficient graph traversal algorithm for CPUs:Maximizing single-node efficiency. In Proc. the 26th IEEE International Parallel and Distributed Processing Symposium, May 2012, pp.378-389. [17] Gonzalez E J, Low Y, Gu H, Bickson D, Guestrin C. PowerGraph:Distributed graph-parallel computation on natural graphs. In Proc. the 10th USENIX Symposium on Operating Systems Design and Implementation, October 2012, pp.17-30. [18] Gonzalez E J, Xin S R, Dace A, Crankshaw D, Franklin J M, Stoica I. GraphX:Graph processing in distributed dataflow framework. In Proc. the 11th USENIX Symposium on Operating Systems Design and Implementation, October 2014, pp.599-613. [19] Liu H, Huang H H. Graphene:Fine-grained IO management for graph computing. In Proc. the 15th USENIX Conference on File and Storage Technologies, February 2017, pp.285-300. [20] Malexicz G, Austern H M, Bik J C A, Dehnert C J, Horn I, Leiser N, Czajkowski G. Pregel:A system for largescale graph processing. In Proc. the ACM SIGMOD International Conference on Management of Data, June 2010, pp.135-146. [21] Roy A, Bindschaedler L, Malicevic J, Zwaenepoel W. Chaos:Scale-out graph processing from secondary storage. In Proc. the 25th Symposium on Operating Systems Principles, October 2015, pp.410-424. [22] Kwak H, Lee C, Park H, Moon B S. What is Twitter, a social network or a news media? In Proc. the 19th International Conference on World Wide Web, April 2010, pp.591-600. [23] Boldi P, Vigna S. The WebGraph framework I:Compression techniques. In Proc. the 13th International World Wide Web Conference, May 2004, pp.595-602. [24] Belady A L. A study of replacement algorithms for a virtualstorage computer. IBM Systems Journal, 1966, 5(2):78- 101. [25] Mattson L R, Gecsei J, Slutz D, Traiger L I. Evaluation techniques for storage hierarchies. IBM Systems Journal, 1970, 9(2):78-117. [26] Faloutsos M, Faloutsos P, Faloutsos C. On power-law relationships of the Internet topology. In Proc. the 1999 ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, August 1999, pp.251-262. [27] Wang K, Xu H G, Su Z, Liu D Y. GraphQ:Graph query processing with abstraction refinement:Scalable and programmable analytics over very large graphs on a single PC. In Proc. the 2015 USENIX Annual Technical Conference, July 2015, pp.387-401. [28] Wu M, Yang F, Xue J, Xiao W, Miao Y, Wei L, Lin H, Dai Y, Zhou L. GraM:Scaling graph computation to the trillions. In Proc. the 6th ACM Symposium on Cloud Computing, August 2016, pp.408-421. |
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