Optics in Multiple-Instruction, Multiple-Data Stream Computers

  • E. E. E. Frietman
Part of the Frontiers of Computing Systems Research book series (FCSR, volume 2)


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.


Processing Element Random Access Memory Processing Node Optical Interconnection Interconnection Topology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Plenum Press, New York 1991

Authors and Affiliations

  • E. E. E. Frietman
    • 1
  1. 1.Faculty of Applied PhysicsDelft University of TechnologyDelftThe Netherlands

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