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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    International journal of parallel programming 19 (1990), S. 425-443 
    ISSN: 1573-7640
    Keywords: Layered streams ; logic programming ; constraints ; complexity
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A layered stream is a list of data structuresH*Ts whereTs is a layered stream containing all possible tails for headH. One performance advantage is the ability toeagerly construct a partial solution by binding headH before the tailsTs are known. This increases potential parallelism. A disadvantage of this facility is that eagerly bindingH can cause consumers of the layered stream to do extra computation if in factTs isuncompletable. In addition, the layered streams can grow very large, the bulk of which is garbage. To combat this space inefficiency, eager term construction can be restricted, thereby reducing parallelism. In this paper we show the trade-offs between potential parallelism, execution time, space and time complexity, for a group of benchmarks implemented with layered streams and streams. We also compare these algorithms to the related paradigms of candidates/noncandidates and fused generate & test.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    International journal of parallel programming 20 (1991), S. 271-298 
    ISSN: 1573-7640
    Keywords: Parallel graph algorithms ; concurrent logic programming ; partitioning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract A partitioned, priority-queue algorithm for solving the single-source best-path problem is defined and evaluated. Finding single-source paths for sparse graphs is notable because of its definitelack of parallelism-no known algorithms are scalable. Qualitatively, we discuss the close relationships between our algorithm and previous work by Quinn, Chikayama, and others. Performance measurements of variations of the algorithm, implemented both in concurrent and imperative programming languages on a shared-memory multiprocessor, are presented. This quantitative analysis of the algorithms provides insights into the tradeoffs between complexity and overhead in graph-searching executed in high-level parallel languages with automatic task scheduling.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 1997-03-15
    Print ISSN: 1364-503X
    Electronic ISSN: 1471-2962
    Topics: Mathematics , Physics , Technology
    Published by The Royal Society
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