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Performance evaluation of unfolded sparse matrix-vector multiplication
(2015-01)
Sparse matrix-vector multiplication (spMV) is a kernel operation in scientific com- putation. There exist problems where a matrix is repeatedly multiplied by many different vectors. For such problems, specializing the spMV ...
Runtime specialization and autotuning of sparse matrix-vector multiplication
(2015-12)
Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this thesis, we present a purpose-built compiler to quickly specialize Sparse Matrix-Vector Multiplication ...
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