Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU

Published: Aug 1, 2016
Abstract
Sparse Matrix-Vector Multiplication (SpMV) kernel dominates the computing cost in numerous scientific applications. Many implementations based on different sparse formats were proposed recently for this kernel on the GPU side. Since the performance of these sparse formats varies significantly according to the sparsity characteristics of the input matrix and the hardware specifications, no one of them can be considered as the best one to use for...
Paper Details
Title
Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU
Published Date
Aug 1, 2016
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.