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Optics in Multiple-Instruction, Multiple-Data Stream Computers

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Book cover Frontiers of Computing Systems Research

Part of the book series: Frontiers of Computing Systems Research ((FCSR,volume 2))

Abstract

Parallel computers have demonstrated their abilities in parallel or con-current processing since the 1950s, by demonstrating their capability to per-form a myriad of processing tasks such as computational seismics, chemical reaction and aerodynamic simulation, neural networking, dynamic imaging and robot vision. But it did last until the first part of the 1980s that sys-tems were designed specifically to explore parallelism with the purpose to operate efficiently on vectors or arrays of numbers. Studies on large-scale parallelism could only be accomplished on behalf of the structure of an overall organisation, which we define as the architecture of a computer sys-tem. The choice of the hardware, the amount of local intelligence available and the type of microprocessor used are the building stones of the mutual independent functioning processing nodes.

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Authors and Affiliations

  1. Faculty of Applied Physics, Delft University of Technology, Lorenizweg 1, 2628 CJ, Delft, The Netherlands

    E. E. E. Frietman

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  1. E. E. E. Frietman
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  1. West Virginia University, Morgantown, West Virginia, USA

    S. K. Tewksbury

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© 1991 Plenum Press, New York

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Frietman, E.E.E. (1991). Optics in Multiple-Instruction, Multiple-Data Stream Computers. In: Tewksbury, S.K. (eds) Frontiers of Computing Systems Research. Frontiers of Computing Systems Research, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7032-5_3

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  • DOI: https://doi.org/10.1007/978-1-4615-7032-5_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4615-7034-9

  • Online ISBN: 978-1-4615-7032-5

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