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Performance evaluation of massively parallel processing architectures with three-dimensional optical

G A Betzos, P A Mitkas

    Applied Optics
    |February 13, 2008
    PubMed
    Summary
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    Three-dimensional optoelectronic computer architectures significantly accelerate database operations and numerical computations. Optical interconnects enable faster select/join operations and benchmarks like FFT, sorting, and multigrid compared to electronic supercomputers.

    Area of Science:

    • Computer Science
    • Electrical Engineering
    • Applied Mathematics

    Background:

    • Traditional electronic supercomputers face limitations in processing speed for complex computations.
    • The integration of optics and electronics offers potential for overcoming these bottlenecks.

    Purpose of the Study:

    • To evaluate the performance of 3D optoelectronic computer architectures.
    • To compare their efficiency against electronic supercomputers on database operations and parallel benchmarks.

    Main Methods:

    • Performance evaluation using basic database operations (select, join).
    • Assessment via parallel benchmark algorithms for numerical computations (FFT, sorting, conjugate-gradient, multigrid).
    • Comparison with existing electronic supercomputer capabilities.

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    Main Results:

    • Optoelectronic architectures demonstrate significantly faster select and join database operations.
    • Fast Fourier Transform (FFT) and sorting benchmarks are orders of magnitude faster.
    • A reconfigurable network enables faster conjugate-gradient performance than all parallel supercomputers.
    • Multigrid benchmarks also show superior performance over leading parallel supercomputers.

    Conclusions:

    • 3D optoelectronic architectures offer substantial performance gains for database and numerical tasks.
    • Optical interconnects are key to achieving these speedups.
    • Further development, particularly in reconfigurable networks, can enhance performance for specific computational challenges.