Sparse matrix multiplication on a reconfigurable many-core architecture
Sparse matrix-vector multiplication (SMVM) is a fundamental operation in many scientific and engineering applications. In many cases sparse matrices have thousands of rows and columns where most of the entries are zero, while non-zero data is spread over the matrix. This sparsity of data locality re...
Main Author: | |
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Other Authors: | , , |
Format: | conferenceObject |
Language: | eng |
Published: |
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/10400.21/6015 |
Country: | Portugal |
Oai: | oai:repositorio.ipl.pt:10400.21/6015 |