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Modern computer architectures provide high performance computing capability by having multiple CPU cores. Such systems are also typically associated with very large main-memory capacities, of the order of tens to hundreds of gigabytes, thereby allowing such architectures to be used for fast processing of in-memory databases applications. However, most of… (More)

Parallelism in linear algebra libraries is a common approach to accelerate numerical and scientific applications. Matrix-matrix multiplication is one of the most widely used computations in scientific and numerical algorithms. Although a number of matrix multiplication algorithms exist for distributed memory environments (e.g., Cannon, Fox, PUMMA, SUMMA),… (More)

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