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

G A Betzos, P A Mitkas

|February 13, 2008

Summary

This summary is machine-generated.

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.

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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.

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.