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28th Hawaii International Conference on System Sciences (HICSS'95)   p. 202
MaTRiX+/sup +/: an object-oriented environment for parallel high-performance matrix computations

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375460
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Abstract
The MaTRiX+/sup +/ system is a high-performance matrix computation environment. It provides support for the task of constructing efficient implementations for the complicated matrix structures that arise in modern scientific and engineering applications. The foundation for this system is a hierarchical matrix algebra that defines hierarchical representations for structured matrices and recursive implementations for matrix operations. In this paper, we discuss additions to the MaTRiX+/sup +/ language interface and compilation model that support applications written for distributed-memory parallel supercomputers. The language extensions provide methods for describing hierarchical data and computation distribution over the separate memories and processors of the target architecture. The compilation approach utilizes this distribution information in order to construct data-driven single-program, multiple-data (SPMD) processor programs. The high level of abstraction of the system encourages rapid prototyping without sacrificing efficiency.
Additional Information
Index Terms- matrix algebra; software prototyping; object-oriented languages; parallelising compilers; programming environments; parallel programming; object-oriented programming; mathematics computing; MaTRiX+/sup +/; object-oriented environment; parallel high-performance matrix computations; efficient implementations; hierarchical matrix algebra; recursive implementations; language interface; compilation model; distributed-memory parallel supercomputers; language extensions; hierarchical data; computation distribution; data-driven single-program, multiple-data processor programs; abstraction level; rapid prototyping

Citation:  T. Collins, J.C. Browne, "MaTRiX+/sup +/: an object-oriented environment for parallel high-performance matrix computations," hicss, p. 202,  28th Hawaii International Conference on System Sciences (HICSS'95),  1995

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