Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!linus!decvax!harpo!seismo!hao!hplabs!sri-unix!DRogers@SUMEX-AIM.ARPA From: DRogers@SUMEX-AIM.ARPA@sri-unix.UUCP Newsgroups: net.ai Subject: NP-completeness and parallelism Message-ID: <3894@sri-arpa.UUCP> Date: Fri, 5-Aug-83 17:06:06 EDT Article-I.D.: sri-arpa.3894 Posted: Fri Aug 5 17:06:06 1983 Date-Received: Sun, 7-Aug-83 02:11:51 EDT Lines: 19 From: David Rogers In AIList V#32 Fred comments that "NP-completeness cannot be gotten around in general by building bigger or faster computers". My guess would be that parallelism may offer a way to reduce the order of an algorithm, perhaps even to a polynomial order (using a machine with "infinite parallel capacity", closely related to Turing's machine with "infinite memory"). For example, I have heard of work developing sorting algorithms for parallel machines which have a lower order than any known sequential algorithm. Perhaps more powerful machines are truly the answer to some of our problems, especially in vision analysis and data base searching. Has anyone heard of a good book discussing parallel algorithms and reduction in problem order? David Rogers DRogers@SUMEX-AIM.ARPA