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Showing 1 to 4 of 4 for “"Matrix multiplication algorithms"”.

  1. Linear algebraic techniques in algorithms and complexity

    We develop linear algebraic techniques in algorithms and complexity, and apply them to a variety of different problems. We focus in particular on matrix multiplication algorithms, which have surprisingly fast running times and can hence be used to design fast algorithms in many settings, and matrix

    mit Repository record for Linear algebraic techniques in algorithms and complexity (opens in a new tab)

  2. Second-generation polyalgorithms for parallel dense-matrix multiplication

    … and Anthony Skjellum, includes fourteen dense matrix multiplication algorithms mapped onto two-dimensional process grids using the Message Passing Interface (MPI). This thesis' goal is to achieve optimized performance of parallel, dense linear algebra algorithms by varying the algorithm as a …

    utc Repository record for Second-generation polyalgorithms for parallel dense-matrix multiplication (opens in a new tab)

  3. High-performance matrix multiplication on Intel and FGPA platforms

    Matrix multiplication is at the core of high-performance numerical computation. Software methods of accelerating matrix multiplication fall into two categories. One is based on calculation simplification. The other one is based on increasing the memory access efficiency. Also matrix multiplication

    njit Repository record for High-performance matrix multiplication on Intel and FGPA platforms (opens in a new tab)

  4. An MPI-based 2D data redistribution library for dense arrays

    … such as the polymath library, a library of many algorithms all of which implement parallel dense matrix multiplication algorithms with flexible data layouts. Using the reorganization mode of process grid shapes with constant total processes, we plan to observe the performance trends of the …

    utc Repository record for An MPI-based 2D data redistribution library for dense arrays (opens in a new tab)