KCM: A Knowledge Crunching Machine

Benker, Hans; Beacco, J. M.; Bescos, S.; Dorochevsky, Michel; Jeffré, Th.; Pohlmann, Andreas; Noyé, Jacques; Poterie, B.; Sexton, A.; Syre, Jean-Claude; Thibault, O.; Watzlawik, G.

doi:10.1109/isca.1989.714553

Cited by 11 publications

(5 citation statements)

References 6 publications

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“…Conducted at ECRC, this project is a joint effort invofving ECRC 's shareholders Bull, ICL and Siemens who intend to buifd KCM pilot machines in 89. Until now and unlike its predecessors ICM3 [12] and ICM4 [1] which did not go beyond chip level simulations, prototype KCM machines have been built. A complete software environment is currently being written, based on SEPIA@].…”

Section: Introductionmentioning

confidence: 99%

KCM: a knowledge crunching machine

Benker¹,

Beacco²,

Dorochevsky³

et al. 1989

Proceedings of the 16th Annual International Symposium on Computer Architecture - ISCA '89

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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.

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Section: Introductionmentioning

confidence: 99%

KCM: a knowledge crunching machine

Benker¹,

Beacco²,

Dorochevsky³

et al. 1989

Proceedings of the 16th Annual International Symposium on Computer Architecture - ISCA '89

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, a detailed description has been made in [8] for the hardware and in [9] for the overall system. The reader is invited t o refer t o them.…”

Section: Presentation Of the Machinementioning

confidence: 99%

“…The memory system has also been targetted at the highspeed execution of Prolog which leads to the following main characteristics: The KCM software test environment [9] includes a n emulator written in C. It is possible to plug into this software environment the emulator, instead of the real hardware, t o generate very accurate statistics corresponding t o the entire software system. The kernel is mainly used for the connection t o the host and is not emulated.…”

Section: Memory Systemmentioning

confidence: 99%

“…Hence it is possible to add the results summarized in table 9 to get the total result: about 60% overhead compared to the best microcode alternative without hardware support.…”

Section: Prolog Support Summarymentioning

confidence: 99%

“…The statistics are presented here for KCM with its own system [9] and give an idea of the Prolog memory behavior on KCM, which helps to understand the following evaluation of the caches.…”

Section: Memory Behaviormentioning

confidence: 99%

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Hardware evaluation of KCM

Thibault¹

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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KCM (Knowledge Crunching Machine) is a high performance back-end processor which, coupled t o a UNIX desktop workstation, provides a powerful and user-friendly Prolog environment catering for both the development and execution of significant Prolog appIications. This paper first gives a short overview of the architecture of KCM. Then the benefits of the main hardware design choices are quantified, using statistics and simulations, in order to make a detailed evaluation.

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To Trim or Not to Trim?

Noyé

1994

Implementations of Logic Programming Systems

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KCM: A Knowledge Crunching Machine

Cited by 11 publications

References 6 publications

KCM: a knowledge crunching machine

KCM: a knowledge crunching machine

Hardware evaluation of KCM

To Trim or Not to Trim?

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