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- W1920851003 abstract "Performance optimization has ben achieved by a transparent parallel sparse data representation in a data-parallel programming environment. In a sparse data representation, only the non-zero data elements of an array are stored and processed. The parallel sparse data representation is designed to efficiently utilize system resources on multicomputer systems for a broad class of problems; the main focus of this work is on the sparse situations that arise in dense data-parallel algorithms rather than the more traditional sparse linear algebra applications. A number of sparse data formats have been considered; one of these formats has been implemented in a high-level data-parallel programming environment called Paragon. Experimental results have been obtained with a distributed-memory multicomputer system. >" @default.
- W1920851003 created "2016-06-24" @default.
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- W1920851003 date "2003-01-02" @default.
- W1920851003 modified "2023-09-23" @default.
- W1920851003 title "Sparse data representation for data-parallel computation" @default.
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- W1920851003 doi "https://doi.org/10.1109/shpcc.1992.232633" @default.
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