Optimizing Sparse Matrix-Matrix Multiplication on a Heterogeneous CPU-GPU Platform
Sparse Matrix-Matrix multiplication (SpMM) is a fundamental operation over irregular data, which is widely used in graph algorithms, such as finding minimum spanning trees and shortest paths. In this work, we present a hybrid CPU and GPU-based parallel SpMM algorithm to improve the performance of Sp...
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ScholarWorks @ Georgia State University
2015
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| Online Access: | http://scholarworks.gsu.edu/cs_theses/83 http://scholarworks.gsu.edu/cgi/viewcontent.cgi?article=1085&context=cs_theses |