Structure-based Optimizations for Sparse Matrix-Vector Multiply
This dissertation introduces two novel techniques, OSF and PBR, to improve the performance of Sparse Matrix-vector Multiply (SMVM) kernels, which dominate the runtime of iterative solvers for systems of linear equations. SMVM computations that use sparse formats typically achieve only a small fracti...
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Virginia Tech
2014
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Online Access: | http://hdl.handle.net/10919/30260 http://scholar.lib.vt.edu/theses/available/etd-12242010-124006/ |