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Resource requirements for digital computations on electrooptical systems.

M M Eshaghian, D K Panda, V K Kumar

|June 29, 2010

Summary

This summary is machine-generated.

This study introduces the optical model of computation (OMC) for electrooptical systems. It establishes a lower bound for optical volume in 2-D image convolution tasks, crucial for digital computing resource analysis.

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Area of Science:

Computer Science
Optical Engineering
Electrical Engineering

Background:

Electrooptical systems offer potential for high-speed communication in digital computing.
Understanding resource requirements is key to designing efficient electrooptical computing architectures.

Purpose of the Study:

To define a generic model for parallel computation using optical interconnects.
To derive relationships between information transfer and computational resources.
To analyze the optical volume requirements for digital image convolution.

Main Methods:

Defined the optical model of computation (OMC) for parallel processing.
Utilized the OMC to derive theoretical bounds on resource requirements.
Focused analysis on the 2-D digital image convolution operation.

Main Results:

Established a lower bound of Omega(nw) for optical volume in 2-D image convolution.
Demonstrated that this bound holds irrespective of I/O scheme and computation order.
Provided a framework for analyzing information transfer vs. computational resources.

Conclusions:

The optical model of computation (OMC) provides a valuable framework for analyzing electrooptical systems.
Significant optical volume is required for computationally intensive tasks like image convolution.
Results offer insights into the fundamental resource limitations of optical interconnects in computing.