Intel® Math Kernel Library PARDISO* for Intel® Xeon PhiTM Manycore CoprocessorReport as inadecuate




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The paper describes an efficient direct method to solve an equation Ax = b, where A is a sparse matrix, on the Intel® Math Kernel Library Parallel Direct Sparse Solver for Clusters 1. Our implementation exploits a static scheduling algorithm during the factorization step to reduce OpenMP synchronization overhead. To effectively engage all available threads, a three-level approach of parallelization is used. Furthermore, we demonstrate that our implementation can perform up to 100 times better on factorization step and up to 65 times better in terms of overall performance on the 240 threads of the Intel



Author: Alexander Kalinkin, Anton Anders, Roman Anders

Source: http://www.scirp.org/



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