Advanced Computing Architectures for Cognitive Processing
Abstract
This report describes the research results of the Advanced Computing Architectures for Cognitive Processing project. Cognitive processing algorithms promise to transform Air Force mission capabilities if practical, deployable systems can be created. Advanced computing architectures based on approaches such as polygranular parallel processing (e.g., high performance reconfigurable computing), data intensive systems (e.g., processors in memory or intelligent RAM), configurable/morphable processors, DNA computing, and quantum computing could make embedded cognitive processing feasible. Given the diverse new computational technologies that are now emerging, this report presents an assessment of the effectiveness of various types of computational architectures for cognitive processing for Air Force systems acquisition.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2009
- Accession Number
- ADA502522
Entities
People
- Gregory D. Peterson
Organizations
- University of Tennessee system