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    題名: An Efficient Value Predictor Dynamically Using Loop and Locality Properties
    作者: Chuang, PO-JEN;Hsiao, YOUNG-TZONG;Chiu, YU-SHIAN
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Benchmarking;Computer simulation;Cost effectiveness;Costs;Data processing;Hardware;Parallel processing systems;Program processors;Signal filtering and prediction;Benchmarks;Experimental performance evaluation;Hardware costs;Loop and locality properties;Value prediction;Value engineering
    日期: 2004-10
    上傳時間: 2013-06-13 11:30:15 (UTC+8)
    出版者: Secaucus: Springer New York LLC
    摘要: Value prediction, a technique to break data dependency, is important in enhancing instruction-level
    parallelism and processor performance. A new value predictor utilizing both the loop and locality properties of data
    values has been proposed in this paper to pursue desirable prediction accuracy at reasonable cost. The proposed
    value predictor, called the Dynamic Loop and Locality-based (DLL) predictor, makes predictions by dynamically
    practicing the loop or locality-based prediction policy according to the state. With certain simple designs, the DLL
    predictor gains prediction accuracy in an efficient way. To secure more comprehensive experimental evaluation
    of value predictors, a new performance measure, accuracy improvement per cost, briefed as the A/C ratio, is
    introduced in the paper. Simulation results show that, compared with other existing value predictors, the proposed
    DLL predictor produces better A/C ratios in almost all situations due to flexible application of different prediction
    policies and reduced cost.
    關聯: Journal of Supercomputing 30(1), pp.19-36+65
    DOI: 10.1023/B:SUPE.0000032779.88101.24
    顯示於類別:[電機工程學系暨研究所] 期刊論文

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