Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication

Multiplication of a sparse matrix with a dense matrix is a building block of an increasing number of applications in many areas such as machine learning and graph algorithms. However, most previous work on parallel matrix multiplication considered only both dense or both sparse matrix operands. This...

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Vydané v:	Proceedings - IEEE International Parallel and Distributed Processing Symposium s. 842 - 853
Hlavní autori:	Koanantakool, Penporn, Azad, Ariful, Buluc, Aydin, Morozov, Dmitriy, Sang-Yun Oh, Oliker, Leonid, Yelick, Katherine
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2016
Predmet:	Algorithm design and analysis communication-avoiding algorithms Covariance matrices linear algebra Machine learning algorithms Parallel algorithms Partitioning algorithms Sparse matrices sparse-dense matrix-matrix multiplication Three-dimensional displays
ISSN:	1530-2075
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