Parallel Optical Data Processing.
Abstract
Optical computing has been effective at solving computationally difficult problems. Optical computing research has high risk, but high potential benefits. AFOR has had the lead role in basic optical computing research and must continue this role in coordination with other government and industrial funding. Current and future optical computing systems can be organized into a unified structure with five major components: input, processor array, interconnections, memory, output. Optics has great potential advantages in speed, bandwidth and parallelism, but electronics has the advantages of a well-developed technology. Basic research needs:-Materials - nonlinear, synthetic structures, processing element arrays - SMLs, interconnections/memories - materials, devices, arrays, architectures/algorithms - utilize parallelism.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1986
- Accession Number
- ADA174853
Entities
People
- Sing H. Lee
Organizations
- University of California, San Diego