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Parallel quadrant interlocking factorization on hypercube computers. (English) Zbl 0707.65012
Starting from the WZ factorization of matrices the quadrant interlocking factorization method (QIF) for solving systems of linear equations is presented in a brief summary. Next the authors discuss those aspects of hypercube computer architecture that are essential for their numerical application and present a general technique, how to decompose a sequential algorithm into parallel processes on a hypercube. They also introduce an extension of the computer language C for programming their hypercube. Applying those techniques they develop the parallel WZ and QIF algorithms and give their code listing. The paper concludes with a complexity analysis of the algorithm and a discussion of the effect of the hypercube dimension on efficiency.
Reviewer: C.H.Cap

65F05 Direct numerical methods for linear systems and matrix inversion
65Y05 Parallel numerical computation
65Y20 Complexity and performance of numerical algorithms
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