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Tuesday, July 28, 2020 | History

2 edition of Extended restricted and-parallelism execution model and abstract machine for logic programming found in the catalog.

Extended restricted and-parallelism execution model and abstract machine for logic programming

Si-En Chang

Extended restricted and-parallelism execution model and abstract machine for logic programming

by Si-En Chang

  • 352 Want to read
  • 18 Currently reading

Published .
Written in English

    Subjects:
  • Parallel programming (Computer science),
  • Logic programming.

  • Edition Notes

    Statementby Si-En Chang.
    The Physical Object
    Paginationx, 263 leaves, bound :
    Number of Pages263
    ID Numbers
    Open LibraryOL16880202M

    evaluate subgoals in parallel with models such as And-parallelism and Or-parallelism [14]. In a forward-chaining logic programming language, programs start with a database of facts (filled with the program’s axioms) and a set of logical rules. The database of facts is then used to fire the program’s rules and derive new facts that are. Software Engineering Stack Exchange is a question and answer site for professionals, academics, and students working within the systems development life cycle. (and even more so laziness) abstracts over the execution order. This makes it trivial to parallelize evaluation. For example, With a concurrent programming model, you are writing.

    Concurrent Programming Introduction and Foundation Marwan Burelle Introduction Parallelism in Computer Science Nature of Parallelism Global Lecture Overview Being Parallel Foundations Interracting with CPU Cache Mutual Exclusion Definitions Models and theories Execution Models Actor Model Message Passing Futures CSP (Communicating Sequential. Concurrency. Concurrency is a property of a system representing the fact that multiple activities are executed at the same time. According to Van Roy [], a program having "several independent activities, each of which executes at its own pace".In addition, the activities may perform some kind of interaction among them.

    Artificial intelligence is entering the mainstream of computer applications and, as techniques are developed and integrated into a wide variety of areas, they are beginning to tax the processing power of conventional architectures. To meet this . Pipeline Optimizations in AND-Parallelism by Abstract Interpretation Roberto Giacobazzi and Laura Ricci AND-Parallelism without Shared Variables Antonio Brogi Parallel Systems and Algorithms Logic and Functional Programming on Distributed Memory Architectures P. G. Bosco, C. Cecchi, C. Moiso, M. Porta, and G. Sofi.


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Extended restricted and-parallelism execution model and abstract machine for logic programming by Si-En Chang Download PDF EPUB FB2

Abstract. Although the sequential execution speed of logic programs has been greatly improved by the concepts introduced in the Warren Abstract Machine (WAM), parallel execution represents the only way to increase this speed beyond the natural limits of sequential r, most proposed parallel logic programming execution models lack the Cited by: Abstract.

One of the most exciting and promising aspects of logic programming is its richness of parallel execution models. The challenge is to find cost-effective, robust implementation techniques for these parallel execution models. A fairly large number of techniques have been proposed so far, and more are continually being by:   This paper presents a parallel execution model for exploiting AND-parallelism in Horn Clause logic programs.

The model is based upon the generator-consumer approach, and can be implemented efficiently with small run-time overhead. Other related models that have been proposed to minimize the run-time overhead are unable to exploit the full parallelism inherent Cited by: Logic programming is based on the idea that computation is controlled inference.

The Extended Andorra Model provides a very powerful framework that. The restricted and-parallelism (RAP) execution model of logic programs is described.

This model uses a compile-time data-dependence analysis to generate execution graph expressions for the clauses in a Prolog program. These expressions use simple run-time tests to determine the possibilities of parallelism and produce multiple parallel execution graphs from a single Cited by: Journal of parallel and distributed computing vol 8, [9], "An execution model for exploiting and-parallelism in logic programs.

New generation computing 5, [10]M.V. Hermenegildo. " An abstract machine for restricted and-parallel execution of logic programs". Proc of third international conference on logic programming Cited by: 1. This paper presents an extended and-or Lree and an extended WAM (Warren Ab­ stract Machine) model for efficiently supporting both and-parallelism and or-parallelism on shared-memory multiprocessors.

Our approach is based on the binding-arrays method for or-parallelism and the RAP (Restricted And-Parallelism) method for and-parallelism.

Most models that have been proposed (or implemented) so far for exploiting both or-parallelism and independent and-parallelism have only considered pure logic programs (pure Prolog).

We present an abstract model, called the Composition-Tree, for representing and-or parallelism in full by: This work is about the AND/OR Process Model, an abstract model for parallel execution of logic programs.

This book defines a framework for implementing parallel interpreters. Abstract. An efficient model of and-parallel execution of logic programs has been described; this model is called the Restricted And-Parallelism model.

It uses a compile-time data-dependence analysis to generate single execution graph expressions for the clauses in a Prolog by: Parallel Logic Programming Techniques.

an abstract model for parallel execution of logic programs. This book defines a framework for implementing parallel interpreters. Unit'ersity of South Florida, Tampa, FL ABSTRACT This paper introduces the subject of logic programming, describes the execution model of Prolog, and surveys Prolog development tools.

In addition, the paper explains how Prolong integrates with artificial intelligence applications and software engineering by: 1. Annotation Algorithms for Unrestricted Independent And-Parallelism in Logic Programs 12 AIAKL an abstract interpreter for the AKL language.

FFT an. Abstract. Abstract. Much work has been done in the areas of and–parallelism and data–parallelism in Logic Programs. Both types of parallelism offer advantages and disadvantages: traditional (and–) parallel models offer generality, whereas data–parallelism techniques offer increased performance for a restricted class of programs.

Future Generation Computer Systems 6 (/91) North-Holland DIALOG A dataflow model execution of logic programs for parallel Kang Zhang and Ray Thomas Department of Electrical and Electronic Engineering, Brighton Polytechnic, Moulsecoomb, Brighton BN2 4G J, UK Abstract The paper presents a dataflow execution model, DIALOG, for logic programs Cited by: 8.

This paper discusses two aspects of parallelism in logic programming: parallelism as a formalism (often referred to as concurrency) and the implications of parallelism with regard to : Kazunori Ueda. AN ABSTRACT MACHINE BASED EXECUTION MODEL FOR COMPUTER ARCHITECTURE DESIGN AND EFFICIENT IMPLEMENTATION OF LOGIC PROGRAMS IN PARALLEL by MANUEL V.

HERMENEGILDO, E.E., M.S. DISSERTATION Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements.

ELSEVIER The Journal of Logic Programming 38 (ig~,"D T Hr. JOlJ RNt~I. b~ LOCd[." PROSIIRA MMI~ Automatic compile-time parallelization of logic programs for restricted, goal level, independent and parallelism t a.2 b.3, K.

Muthukumar, F. Bueno M. Garcia de la Banda =,4 M. Hermenegildo by: For the reasons mentioned above, we argüe that goal-level, restricted, indepen-dent and-parallelism is, from a practical point of view, a quite interesting model for exploitation of and-parallelism in (constraint) logic programs.

We address in this paper an essential aspect of the problem of automatic parallelization within this. Abstract We present new algorithms which perform automatic parallelization via source-to-source transformations.

The objective is to exploit goal-level, unrestricted independent and-parallelism. The proposed algorithms use as targets new parallel execution primitives. ACE: And/Or-parallel Copying-based Execution of Logic Programs Gopal GuptaJ Manuel Hermenegildo* Enrico PontelliJ and Vítor Santos Costa' Abstract In this paper we present a novel execution model for parallel implementation of logic programs which is ca-pable of exploiting both independent and-parallelism and or-parallelism in an efficient way.method is then applied to several types of parallel execution models for logic programs (Or-parallelism, Determinate Dependent And parallelism, Restricted And-parallelism) for which vi-sualization paradigms are designed.

Finally, VisAndOr, a tool which implements all of these paradigms is presented, together with a discussion of its usefulness.In this thesis, a new parallel execution model for Prolog is presented: the PPP model, or Parallel Prolog Processor.

The PPP supports AND-parallelism, OR-parallelism, and intelligent backtracking. An implementation of the PPP is described, through the extension of an existing Prolog abstract machine architecture.