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Titlebook: Applied Parallel and Scientific Computing; 11th International C Pekka Manninen,Per Öster Conference proceedings 2013 Springer-Verlag Berlin

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Parallel Implementation of the Sherman-Morrison Matrix Inverse Algorithmfficiency in memory and runtime on multicore CPU and GPU-equipped computers. Our methods are shown to be much more efficient than the direct method to compute the inverse of a nonsingular dense matrix, yielding up to 12 times faster performance on the CPU.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/160021.jpg
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https://doi.org/10.1007/978-3-7091-9497-3 calculated in tens or hundreds. Within a not too distant future the number of cores will be calculated in at least hundreds of thousands or even millions. A European collaboration group CRESTA has recently been working on a set of renowned scientific software to investigate and develop these codes
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