Accurate RTL Power Estimation Linked with Standard Cell Power Characterization
碩士 === 國立清華大學 === 電機工程學系 === 93 === We investigate in the thesis the cell-based power characterization and its linkage to an RTL (Register Transfer Level) power estimation flow for CMOS logic circuits. The proposed power characterization method is highly accurate because of taking into account the e...
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ndltd-TW-093NTHU54420352016-06-06T04:11:34Z http://ndltd.ncl.edu.tw/handle/43895901615186789044 Accurate RTL Power Estimation Linked with Standard Cell Power Characterization 連結標準基本單元功率特性之精確暫存器轉換層級的功率測量 Kai-Shuang Chang 張凱翔 碩士 國立清華大學 電機工程學系 93 We investigate in the thesis the cell-based power characterization and its linkage to an RTL (Register Transfer Level) power estimation flow for CMOS logic circuits. The proposed power characterization method is highly accurate because of taking into account the effects of glitches, output loading, and logic state transition in registers. For each combinational cell, we build the power models for full swings as well as for partial swings. For flip-flop cells, we propose a split model that treats the input stage and output stage separately to increase its accuracy. Experimental results on a number of real-life test cases show that the estimation error can be kept within 2% error on the average as compared to that obtained by pure Nanosim simulation. Shi-Yu Huang 黃錫瑜 2005 學位論文 ; thesis 46 en_US |
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碩士 === 國立清華大學 === 電機工程學系 === 93 === We investigate in the thesis the cell-based power characterization and its linkage to an RTL (Register Transfer Level) power estimation flow for CMOS logic circuits. The proposed power characterization method is highly accurate because of taking into account the effects of glitches, output loading, and logic state transition in registers. For each combinational cell, we build the power models for full swings as well as for partial swings. For flip-flop cells, we propose a split model that treats the input stage and output stage separately to increase its accuracy. Experimental results on a number of real-life test cases show that the estimation error can be kept within 2% error on the average as compared to that obtained by pure Nanosim simulation.
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Shi-Yu Huang |
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Shi-Yu Huang Kai-Shuang Chang 張凱翔 |
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Kai-Shuang Chang 張凱翔 |
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Kai-Shuang Chang 張凱翔 Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
author_sort |
Kai-Shuang Chang |
title |
Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
title_short |
Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
title_full |
Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
title_fullStr |
Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
title_full_unstemmed |
Accurate RTL Power Estimation Linked with Standard Cell Power Characterization |
title_sort |
accurate rtl power estimation linked with standard cell power characterization |
publishDate |
2005 |
url |
http://ndltd.ncl.edu.tw/handle/43895901615186789044 |
work_keys_str_mv |
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