GPregel: A GPU-Based Parallel Graph Processing Model
暂无分享,去创建一个
[1] Nachiket Kapre,et al. GraphStep: A System Architecture for Sparse-Graph Algorithms , 2006, 2006 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines.
[2] Martin D. F. Wong,et al. An effective GPU implementation of breadth-first search , 2010, Design Automation Conference.
[3] Joseph T. Kider,et al. All-pairs shortest-paths for large graphs on the GPU , 2008, GH '08.
[4] P. J. Narayanan,et al. Accelerating Large Graph Algorithms on the GPU Using CUDA , 2007, HiPC.
[5] Leslie G. Valiant,et al. A bridging model for parallel computation , 1990, CACM.
[6] Hong Chen,et al. Parallel SimRank computation on large graphs with iterative aggregation , 2010, KDD.
[7] Kunle Olukotun,et al. Accelerating CUDA graph algorithms at maximum warp , 2011, PPoPP '11.
[8] Jianlong Zhong,et al. Medusa: Simplified Graph Processing on GPUs , 2014, IEEE Transactions on Parallel and Distributed Systems.
[9] P. J. Narayanan,et al. CUDA cuts: Fast graph cuts on the GPU , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[10] Aart J. C. Bik,et al. Pregel: a system for large-scale graph processing , 2010, SIGMOD Conference.
[11] Jennifer Widom,et al. GPS: a graph processing system , 2013, SSDBM.
[12] David A. Bader,et al. GTgraph : A Synthetic Graph Generator Suite , 2006 .
[13] Andrew S. Grimshaw,et al. High-Performance and Scalable GPU Graph Traversal , 2015, ACM Trans. Parallel Comput..