Comparison of Aquarius and SPUR (Symbolic Processing upon RISC) Projects

Abstract

Two different approaches to high performance systems for Artificial Intelligence (AI) applications have been set forth at Berkeley: one by the SPUR (Symbolic Processing Upon RISC) group, the other by the Aquarius group. In particular, the SPUR group proposed multiple, homogeneous, RISCs (Reduced Instruction Set Computers) with a functional programming (LISP) paradigm while the Aquarius group proposes multiple, heterogeneous, specialized processors with a logic-programming (Prolog) paradigm. The two groups agreed to meet for the purpose of studying the relative merits of their two approaches and to report on their findings. Meetings were held in October and November of 1984. The meetings consisted of descriptions of the two projects and discussions of the various alternatives available. This report delineates the results of those meetings; in particular, the dissimilar objectives of the two projects are stated and a point by point discussion of the major issues are provided. The two projects are now more similar in certain aspects in which they differed a year ago. The authors describe the two projects as the are now.

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Document Details

Document Type
Technical Report
Publication Date
Nov 25, 1985
Accession Number
ADA169224

Entities

People

  • Alvin Despain
  • David L. Patterson
  • Randy Katz
  • Yale Patt

Organizations

  • University of California, Berkeley

Tags

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Environment
  • Expert Systems
  • Instruction Set Architecture
  • Lisp Programming Language
  • Multiprocessors
  • Standards
  • Symbolic Programming

Readers

  • Computational Linguistics
  • Defense Technology Research and Development.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms