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Design of an optical content-addressable parallel processor for expert systems.

A Louri, J Na

    Applied Optics
    |November 6, 2010
    PubMed
    Summary
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    This study introduces an optical content-addressable parallel processor to accelerate rule-based systems (RBS). The novel design enhances speed by exploiting optics and parallel processing for core RBS operations.

    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Optical Computing

    Background:

    • Rule-based systems (RBS) face performance limitations due to slow execution speeds.
    • Existing electronic and optical systems for RBS acceleration have drawbacks, including time-consuming operations and underutilization of parallelism.

    Purpose of the Study:

    • To propose a novel optical content-addressable parallel processor for expert systems.
    • To enhance the speed and efficiency of rule-based systems by addressing their core operational bottlenecks.

    Main Methods:

    • Developed a processor that executes the match, select, and act operations of RBS in a highly parallel manner.
    • Utilized a two-dimensional data representation to leverage optical parallelism across RBS units.
    • Incorporated a parallel optical match unit for 2D pattern matching and a novel single-step conflict-resolution algorithm in the select unit.

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    Main Results:

    • The proposed processor extracts and exploits all possible parallelism within a RBS.
    • The system efficiently processes general-domain knowledge, including variables, numbers, symbols, and comparison operators.
    • Achieved high-speed execution of core RBS operations through optical parallel processing.

    Conclusions:

    • The optical content-addressable parallel processor offers a significant speed improvement for rule-based systems.
    • The design is suitable for high-speed, general-purpose RBS applications.
    • This approach overcomes the limitations of current electronic and optical systems for RBS acceleration.