Sparse matrix–vector multiplication
Sparse matrix–vector multiplication (SpMV) of the form y = Ax is a widely used computational kernel existing in many scientific applications. The input matrix A is sparse. The input vector x and the output vector y are dense. In the case of a repeated y = Ax operation involving the same input matrix A but possibly changing numerical values of its elements, A can be preprocessed to reduce both the parallel and sequential run time of the SpMV kernel.
- Comment
- enSparse matrix–vector multiplication (SpMV) of the form y = Ax is a widely used computational kernel existing in many scientific applications. The input matrix A is sparse. The input vector x and the output vector y are dense. In the case of a repeated y = Ax operation involving the same input matrix A but possibly changing numerical values of its elements, A can be preprocessed to reduce both the parallel and sequential run time of the SpMV kernel.
- Has abstract
- enSparse matrix–vector multiplication (SpMV) of the form y = Ax is a widely used computational kernel existing in many scientific applications. The input matrix A is sparse. The input vector x and the output vector y are dense. In the case of a repeated y = Ax operation involving the same input matrix A but possibly changing numerical values of its elements, A can be preprocessed to reduce both the parallel and sequential run time of the SpMV kernel.
- Is primary topic of
- Sparse matrix–vector multiplication
- Label
- enSparse matrix–vector multiplication
- Link from a Wikipage to another Wikipage
- Category:Sparse matrices
- Compute kernel
- General-purpose computing on graphics processing units
- Matrix–vector multiplication
- Sparse matrix
- SameAs
- f535
- Q16935558
- Subject
- Category:Sparse matrices
- WasDerivedFrom
- Sparse matrix–vector multiplication?oldid=1082898804&ns=0
- WikiPageLength
- 990
- Wikipage page ID
- 42478623
- Wikipage revision ID
- 1082898804
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- Template:Math
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