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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4697


    Title: Using knowledge-based techniques on loop parallelization for parallelizing compilers
    Authors: C.T. Yang;S. S. Tseng;C. D. Chuang;W. C. Shih
    Contributors: Department of Information Science and Applications
    Keywords: Parallelizing compiler;Data dependence testing;Loop parallelization;Parallel loop scheduling;Knowledge-based;Repertory grid analysis;Speedup
    Date: 1997-05
    Issue Date: 2009-11-30 16:03:09 (UTC+8)
    Publisher: Asia University
    Abstract: In this paper we propose a knowledge-based approach for solving data dependence testing and loop scheduling problems. A rule-based system, called the K-Test, is developed by repertory grid and attribute ording table to construct the knowledge base. The K-Test chooses an appropriate testing algorithm according to some features of the input program by using knowledge-based techniques, and then applies the resulting test to detect data dependences for loop parallelization. Another rule-based system, called the KPLS, is also proposed to be able to choose an appropriate scheduling by inferring some features of loops and assign parallel loops on multiprocessors for achieving high speedup. The experimental results show that the graceful speedup obtained by our compiler is obvious.
    Relation: Parallel Computing 23(3):291-309
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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