No abstract
KCM (KnowledgeCrunching Machine) is a highperformance back-end processor which, coupled to a UNIX' desk-top workstatrbn, provides a powerful and user-friendfy Prolog environment catering for both development and exewtbn of sbnificant Prolog applications. This paper gives a general ovem'ew of the architecture of KCM stressing some new features like a 64&t tagged architeoture, shallow backtracking and an original memory management unit. Some early benchmark results obtained on prototvpe machines are presented. They show that KCM, which runs at a peak speed of 833 Klips on fist concatenation, compares favorably with other dedicated Prolog machines and available commercial systems nmning on fast general purpose plOC8SSOrS.
KCM (Knowledge Crunching Machine) is a high-performance back-end processor which, coupled to a UNIX * desk-top workstation, provides a powerful and user-friendly Prolog environment catering for both development and execution of significant Prolog applications. This paper gives a general overview of the architecture of KCM stressing some new features like a 64-bit tagged architecture, shallow backtracking and an original memory management unit. Some early benchmark results obtained on prototype machines are presented. They show that KCM, which runs at a peak speed of 833 Klips on list concatenation, compares favorably with other dedicated Prolog machines and available commercial systems running on fast general purpose processors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.