Application of HPMR in Parallel Matrix Computation
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In order to solve the problems of difficulty and low efficiency in traditional parallel programming,this paper presents a parallel programming method based on MapReduce model,realizes matrix parallel LU decomposition under High Performance MapReduce(HPMR) platform.Experimental result shows that the parallel programs implemented via the MapReduce model can meet the need of high-performance numerical computing,and its programming simplicity and readability to enhance the efficiency of parallel programming compared with traditional parallel programming models.