Sparse matrix

Known as: Dense matrix, Sparse vector, Sparsity 
In numerical analysis, a sparse matrix is a matrix in which most of the elements are zero. By contrast, if most of the elements are nonzero, then the… (More)
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Topic mentions per year

Topic mentions per year

1940-2019
0200040006000800019402018

Papers overview

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Highly Cited
2011
Highly Cited
2011
We describe the University of Florida Sparse Matrix Collection, a large and actively growing set of sparse matrices that arise in… (More)
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Highly Cited
2011
Highly Cited
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to… (More)
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Highly Cited
2010
Highly Cited
2010
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of… (More)
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Highly Cited
2009
Highly Cited
2009
Sparse matrix-vector multiplication (SpMV) is of singular importance in sparse linear algebra. In contrast to the uniform… (More)
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Highly Cited
2008
Highly Cited
2008
The massive parallelism of graphics processing units (GPUs) offers tremendous performance in many high-performance computing… (More)
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Highly Cited
2004
Highly Cited
2004
Sparse matrix-vector multiplication is an important computational kernel that performs poorly on most modern processors due to a… (More)
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Highly Cited
2003
Highly Cited
2003
Many computer graphics applications require high-intensity numerical simulation. We show that such computations can be performed… (More)
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Highly Cited
2003
Highly Cited
2003
Automatic Performance Tuning of Sparse Matrix Kernels 
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Highly Cited
1998
Highly Cited
1998
A class of matrices (H-matrices) is introduced which have the following properties. (i) They are sparse in the sense that only… (More)
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Highly Cited
1982
Highly Cited
1982
We describe the Harwell-Boeing sparse matrix collection, a set of standard test matrices for sparse matrix problems. Our test set… (More)
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