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An Ultrafast Cellular Method for Matrix Multiplication

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Abstract

The author considers the ultrafast cellular method of matrix multiplication that deals with cellular submatrices, interacts with well-known matrix multiplication cellular methods, and minimizes by 12.5% the computing complexity of cellular analogs of well-known matrix multiplication algorithms generated on their basis. The interaction of the ultrafast cellular method with the unified cellular method of matrix multiplication provides the highest (as compared with well-known methods) percentage (equal to 45.2%) of minimization of multiplicative, additive, and overall complexities of well-known matrix multiplication algorithms. The computing complexity of the ultrafast method is estimated using the models of getting cellular analogs of the traditional matrix multiplication algorithm.

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References

  1. W. K. Giloi, “Parallel supercomputer architectures and their programming models,” Parallel Computing, Vol. 20, 1443–1470 (1994).

    Article  Google Scholar 

  2. L. D. Jelfimova, “A fast cellular method of matrix multiplication,” Cybern. Syst. Analysis, Vol. 44, No. 3, 357–361 (2008).

    Article  Google Scholar 

  3. L. D. Jelfimova, “A mixed cellular method of matrix multiplication,” Cybern. Syst. Analysis, Vol. 45, No. 1, 19–24 (2009).

    Article  MathSciNet  Google Scholar 

  4. L. D. Jelfimova, “New cellular methods for matrix multiplication,” Cybern. Syst. Analysis, Vol. 49, No. 1, 15–25 (2013).

    Article  MathSciNet  Google Scholar 

  5. L. D. Jelfimova, “A unified cellular method for matrix multiplication,” Cybern. Syst. Analysis, Vol. 49, No. 5, 663–672 (2013).

    Article  MathSciNet  Google Scholar 

  6. V. Strassen, “Gaussian elimination is not optimal,” Numerische Mathematik, Vol. 13, 354–356 (1969).

    Article  MathSciNet  Google Scholar 

  7. J. D. Laderman, “A noncommutative algorithm for multiplying 3x3 matrices using 23 multiplications,” Bulletin of the American Mathematical Society, Vol. 82, No. 1, 126–128 (1976).

    Article  MathSciNet  Google Scholar 

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Correspondence to L. D. Jelfimova.

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Translated from Kibernetika i Sistemnyi Analiz, No. 6, November–December, 2018, pp. 47–55.

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Jelfimova, L.D. An Ultrafast Cellular Method for Matrix Multiplication. Cybern Syst Anal 54, 892–899 (2018). https://doi.org/10.1007/s10559-018-0092-2

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  • DOI: https://doi.org/10.1007/s10559-018-0092-2

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