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Architecture and VLSI Implementation of a Pegasus-II Prolog Processor

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VLSI for Neural Networks and Artificial Intelligence
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Abstract

Many new Prolog machines use the Warren abstract machine (WAM, Warren 1983a) as an execution model. Each WAM instruction can be broken down into a series of simple actions; yet its instruction level is high. Thus, even a RISC, which has a low-level instruction set, can be made to perform at high levels, if it has WAM oriented features.

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References

  • Seo, K. and Yokota, T., “Design and Fabrication of Pegasus Prolog Processor,” in VLSI ′89, pp.265–274, North Holland, 1989.

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  • Van Roy, P. L., “Can Logic Programming Execute as Fast as Imperative Programming,” Report No. UCB/CSD 90/600, University California Berkeley, 1990.

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  • Warren, D. H. D., “An Abstract Prolog Instruction Set,” Technical Note 309, Artificial Intelligence Center, SRI International, 1983.

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  • Warren, D. H. D., “Applied Logic — Its Use and Implementation as Programming Tool,” Technical note 290, Artificial Intelligence Center, SRI International, 1983.

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© 1994 Springer Science+Business Media New York

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Yokota, T., Seo, K. (1994). Architecture and VLSI Implementation of a Pegasus-II Prolog Processor. In: Delgado-Frias, J.G., Moore, W.R. (eds) VLSI for Neural Networks and Artificial Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1331-9_30

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  • DOI: https://doi.org/10.1007/978-1-4899-1331-9_30

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-1333-3

  • Online ISBN: 978-1-4899-1331-9

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