Approximations for the general block distribution of a matrix

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Approximations for the General Block Distribution of a Matrix

The general block distribution of a matrix is a rectilinear partition of the matrix into orthogonal blocks such that the maximum sum of the elements within a single block is minimized. This corresponds to partitioning the matrix onto parallel processors so as to minimize processor load while maintaining regular communication patterns. Applications of the problem include various parallel sparse ...

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ژورنال

عنوان ژورنال: Theoretical Computer Science

سال: 2001

ISSN: 0304-3975

DOI: 10.1016/s0304-3975(00)00187-0