E1AR0002@SMUVM1.BITNET (03/10/86)
Toward Computer Architectures for Database and Knowledge Base Processing Computer Science and Engineering Seminar, Friday, March 14, 1986 Speaker: Lubomir Bic University of California at Irvine Location: 315SIC Time: 3:00 PM The importance of parallelism has been recognized in recent years and a number of multiprocessor architectures claiming suitability to intelligent data and knowledge base processing have been proposed. The success of these architectures has been, in most cases, rather modest. The message conveyed in this talk is that, in order to build highly-parallel computer architectures, new models of computation capable of exploiting the potential of large numbers of processing elments and memory units must first be developed. To support this claim, two such models-- one for processing queries in a network-oriented database system and another for extracting information from a logic-based knowledge representation system -- will be outlined. Both models are based on the principles of asynchronous data-driven computation, which eliminate the need for centralized control and shared memory.