Combinatorial logic based digital optical computing architectures.

Area of Science:

• Computer Science
• Electrical Engineering
• Applied Mathematics

Background:

• Scientific data infrastructure (SDI) problem-solving processors utilize numerical matrix algebra algorithms.
• These algorithms are often reduced to solving sets of linear equations, with methods like Fast Fourier Transform and Singular Value Decomposition being common.
• High-speed processing relies on arrays of computational elements, driving hardware development in VLSI and optical interconnects.

Purpose of the Study:

• To formulate a 3-D optical interconnect methodology.
• To enable high-speed and efficient processing for numerical and general-purpose optical computers.
• To advance the development of optical computing architectures.

Main Methods:

• Focus on the formulation of 3-D optical interconnect methodology.
• Exploration of acousto-optic analog and digital arrays.
• Leveraging 3-D optical interconnect technology for computational processing elements.

Main Results:

• Development of a 3-D optical interconnect methodology.
• Potential for extremely high speeds and algorithmic efficiency in optical computers.
• Integration of numerical and binary combinatorial logic for optical computing.

Conclusions:

• 3-D optical interconnects offer a promising approach for high-performance optical computing.
• This methodology can significantly enhance the speed and efficiency of solving complex computational problems.
• The research contributes to the advancement of optical computer architectures for diverse applications.