Parallel matrix transpose algorithms on distributed memory concurrent computers

This paper describes parallel matrix transpose algorithms on distributed memory concurrent processors. We assume that the matrix is distributed over a P × Q processor template with a block cyclic data distribution. P, Q, and the block size can be arbitrary, so the algorithms have wide applicability....

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Vydáno v:	Parallel computing Ročník 21; číslo 9; s. 1387 - 1405
Hlavní autoři:	Choi, Jaeyoung, Dongarra, Jack J., Walker, David W.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.09.1995 Elsevier
Témata:	Algorithmics. Computability. Computer arithmetics Applied sciences Computer science; control theory; systems Computer systems and distributed systems. User interface Distributed memory multiprocessors Exact sciences and technology Intel Touchstone Delta Linear algebra Matrix transpose algorithm Memory and file management (including protection and security) Memory organisation. Data processing Point-to-point communication Software Theoretical computing Distributed memory multiprocessors Matrix transpose algorithm Intel Touchstone Delta Point-to-point communication Linear algebra Matrix diagonalization Parallel algorithm Distributed memory multiprocessor system Matrix inversion Distributed algorithm Matrix calculus Matrix product Parallelism Distributed system Implementation Point to point communication
ISSN:	0167-8191, 1872-7336
On-line přístup:	Získat plný text
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