Abstract
The users of the supercomputer are changing from the scientific community to the business community. However, the database and knowledge base applications are executed on the computer based on the Neumann architecture designed for the numerical processing. We propose a novel parallel computer architecture that uses optical devices to exploit the inherent parallelism of optics for the parallel processing of the rule-based systems. The proposed system uses two-dimensional spaces as basic computational entities and is therefore able to perform concurrent comparison operations of the expert system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Stenstrom, P.: Trends in shard memory multiprocessing. Computer, 44–50 (December 1997)
von Halle, B.: Building a Business Rules System: Part 1. DM Review (January 2004)
Harmon, P., King, D.: Expert System: Artificial Intelligence in Business. John Wiley and Sons, New York (1985)
http://www.cyc.com/cyc/technology/whatiscyc_dir/howdoescycreason
Guha, A., Derstine, M.W.: Designing Massively Parallel Optical Computers: a Case Sturdy. Applied Optics 29, 2187–2200 (1990)
Blelloch, G.E.: CIS: a massively concurrent rule-based system. In: AAAI 1986, Phil., pp. 735–741 (August 1986)
Wah, B.W., Li, G.J.: Design issues of multiprocessors for artificial intelligence. In: Parallel Processing for Supercomputers, ch. 4, pp. 107–159. McGraw-Hill, New York (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Na, J.W. (2004). A Parallel Electro-Optical Computer Architecture for Artificial Intelligence. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-30501-9_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
eBook Packages: Computer ScienceComputer Science (R0)