Sparse matrices in Matlab*P: design and implementation

Authors:
Viral Shah;John R. Gilbert
Affiliations:
Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of California, Santa Barbara
Venue:
HiPC'04 Proceedings of the 11th international conference on High Performance Computing
Year:
2004

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Abstract

Matlab*P is a flexible interactive system that enables computational scientists and engineers to use a high-level language to program cluster computers The Matlab*P user writes code in the Matlab language Parallelism is available via data-parallel operations on distributed objects and via task-parallel operations on multiple objects Matlab*P can store distributed matrices in either full or sparse format As in Matlab, most matrix operations apply equally to full or sparse operands Here, we describe the design and implementation of Matlab*P's sparse matrix support, and an application to a problem in computational fluid dynamics.