期刊論文

學年 93
學期 1
出版(發表)日期 2004-10-01
作品名稱 An Efficient Value Predictor Dynamically Using Loop and Locality Properties
作品名稱(其他語言)
著者 Chuang, PO-JEN; Hsiao, YOUNG-TZONG; Chiu, YU-SHIAN
單位 淡江大學電機工程學系
出版者 Secaucus: Springer New York LLC
著錄名稱、卷期、頁數 Journal of Supercomputing 30(1), pp.19-36+65
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.
關鍵字 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
語言 en
ISSN 0920-8542
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Chuang, PO-JEN
審稿制度
國別 USA
公開徵稿
出版型式 紙本
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