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ACM Transactions on Mathematical Software (TOMS), ISSN 0098-3500, 10/2015, Volume 41, Issue 4, pp. 1 - 20
Sparse matrix--matrix multiplication (SpGEMM) is a key operation in numerous areas from information to the physical sciences. Implementing SpGEMM efficiently... 
Parallel | matrix--matrix | sparse, GPU | Sparse | GPU | Matrix-matrix | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MATHEMATICS, APPLIED | Algorithms | PARALLELISM | sparse | IMPLEMENTATION | Performance | matrix-matrix | Analysis | Graphics coprocessors | Matrices | Multiplication | Graphics processing units | Software | Processors | Programmers | Optimization | Computer programs | Sorting
Journal Article
2017, Second edition., Numerical mathematics and scientific computation, ISBN 9780198508380
The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural... 
Data processing | Sparse matrices
Web Resource
1984, ISBN 0125575807, xiii, 321
Book
Journal of Parallel and Distributed Computing, ISSN 0743-7315, 11/2015, Volume 85, pp. 47 - 61
General sparse matrix–matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method (AMG),... 
Parallel algorithm | Merging | Linear algebra | Sparse matrix | Heterogeneous processor | Sparse matrix-matrix multiplication | GPU | PERFORMANCE | IMPLEMENTATION | COMPUTER SCIENCE, THEORY & METHODS | ALGORITHMS | Algorithms | Algebra | Distributed processing | Multiplication | Construction | Searching | Inserts | Load balancing | Processors
Journal Article
Proceedings of the IEEE, ISSN 0018-9219, 06/2010, Volume 98, Issue 6, pp. 937 - 947
Journal Article
by Saad, Y
2011, Rev. ed., Classics in applied mathematics, ISBN 9781611970722, Volume 66, xvi, 276
Book
1986, Monographs on numerical analysis., ISBN 9780198534082, xiii, 341
Book
SIAM Journal on Scientific Computing, ISSN 1064-8275, 2014, Volume 36, Issue 5, pp. C568 - C590
Journal Article
International Journal of Parallel Programming, ISSN 0885-7458, 2019, Volume 47, Issue 3, pp. 403 - 417
General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block of a number of high-level algorithms and real-world applications. In... 
Sparse matrix | Sparse matrix–matrix multiplication | Register | GPU | LOCALITY | COMPUTER SCIENCE, THEORY & METHODS | Sparse matrix-matrix multiplication | MANY-CORE | Computer science | Algorithms | Multiplication | Sparsity | Microprocessors | Accumulators | Low speed | Sparse matrices
Journal Article
1973, Mathematics in science and engineering, ISBN 0126856508, Volume 99., xv, 160
Book
Computing (Vienna/New York), ISSN 0010-485X, 1999, Volume 62, Issue 2, pp. 89 - 108
A class of matrices (H-matrices) is introduced which have the following properties. (i) They are sparse in the sense that only few data are needed for their... 
matrix inversion | COMPUTER SCIENCE, THEORY & METHODS | hierarchical matrices | hierarchical block partitioning | sparse matrices
Journal Article
1983, Lecture notes in computer science, ISBN 9780387126760, Volume 157, vii, 127
Book
1989, Ellis Horwood series in mathematics and its applications., ISBN 9780745806358, viii, 115
Book
IEEE Transactions on Signal Processing, ISSN 1053-587X, 01/2012, Volume 60, Issue 1, pp. 139 - 154
Journal Article
The Journal of Supercomputing, ISSN 0920-8542, 9/2016, Volume 72, Issue 9, pp. 3366 - 3386
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 01/2018, Volume 66, Issue 1, pp. 77 - 85
For an m x n binary matrix with d nonzero elements per column, it is interesting to identify the minimal column degree d that corresponds to the best recovery... 
column correlation | Correlation | Upper bound | Estimation | Coherence | measurement matrix | column degree | binary matrix | optimal construction | Sparks | Sparse matrices | Compressed sensing | DETERMINISTIC CONSTRUCTIONS | LDPC CODES | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Matrices | Algorithms | Research | Recovery
Journal Article
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