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A microprogrammed machine architecture for efficient matrix multiplication

Published:27 September 1976Publication History

ABSTRACT

In the modern world of control and estimation theory, matrix multiplications are ubiquitous. Minicomputers designed as general purpose machines do not have instruction sets designed to efficiently implement these multiplications. A microprogrammable machine may be capable of efficient matrix multiplications if it has the proper architecture. A Hewlett-Packard HP-2100 minicomputer was used to investigate architectural and efficiency problems. Algorithms were developed to calculate execution times for any n, m, and T where n and m refer to the matrix dimensions and T is the basic machine instruction time. The execution times for various size matrix operations indicated savings of up to 80% for microcoded operations.

References

  1. 1.Agrawala, A. K., and Rauscher, T. G. "Microprogramming: Perspective and Status," IEEE Trans. Comp., Vol. C-23, No. 8, August 1974, pp. 817-837.Google ScholarGoogle Scholar
  2. 2.Hewlett-Packard. 2100 Computer Microprogramming Guide, Hewlett-Packard Company, Cupertino, California, February 1972.Google ScholarGoogle Scholar
  3. 3.Hewlett-Packard. 2100 Computer Microprogramming Software, Hewlett-Packard Company, Cupertino, California, September 1973.Google ScholarGoogle Scholar
  4. 4.Hewlett-Packard. 2100A Computer Reference Manual, Hewlett-Packard Company, Cupertino, California, December 1971.Google ScholarGoogle Scholar
  5. 5.Jones, Louise H. "A Survey of Current Work in Microprogramming," Computer, Vol. 8, No. 8, August 1975, pp. 33-38.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.Stewart, G. W. Introduction To Matrix Computations, Academic Press, New York, New York, 1973.Google ScholarGoogle Scholar

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            • Published in

              cover image ACM Conferences
              MICRO 9: Proceedings of the 9th annual workshop on Microprogramming
              September 1976
              60 pages
              ISBN:9781450374477
              DOI:10.1145/800145

              Copyright © 1976 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 27 September 1976

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