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On Analyzing Large Graphs Using GPUs
2013
2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum
Studying properties of graphs is essential to various applications, and recent growth of online social networks has spurred interests in analyzing their structures using Graphical Processing Units (GPUs). Utilizing the faster available shared memory on GPUs have provided tremendous speed-up for solving many general-purpose problems. However, when data required for processing is large and needs to be stored in the global memory instead of the shared memory, simultaneous memory accesses by
doi:10.1109/ipdpsw.2013.235
dblp:conf/ipps/ChatterjeeRA13
fatcat:sss4acsdbzet7ox7sm5btvvbfy