IEICE TRANSACTIONS on Fundamentals
Power Modeling of Synthesizable Soft Macros
Summary :
We present a new approach to the power modeling of synthesizable soft macros, which uses the characteristics of individual input signals for high accuracy. We also present the parameterized power model, developed using the proposed approach, which can relieve us from the power characterization for all possible macro sizes. Extensive experiments illustrate that the proposed approaches exhibit the overall modeling errors below 4.24% and 4.71% for benchmark macros before and after parameterization, when compared with the results of gate-level analysis.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.12 pp.3091-3099
- Publication Date
- 2004/12/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
- Category
- System Level Design
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Keyword
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Kyung Tae DO, Yang Hyo KIM, Young Hwan KIM, Jung Yun CHOI, "Power Modeling of Synthesizable Soft Macros" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 12, pp. 3091-3099, December 2004, doi: .
Abstract: We present a new approach to the power modeling of synthesizable soft macros, which uses the characteristics of individual input signals for high accuracy. We also present the parameterized power model, developed using the proposed approach, which can relieve us from the power characterization for all possible macro sizes. Extensive experiments illustrate that the proposed approaches exhibit the overall modeling errors below 4.24% and 4.71% for benchmark macros before and after parameterization, when compared with the results of gate-level analysis.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e87-a_12_3091/_p
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@ARTICLE{e87-a_12_3091,
author={Kyung Tae DO, Yang Hyo KIM, Young Hwan KIM, Jung Yun CHOI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Power Modeling of Synthesizable Soft Macros},
year={2004},
volume={E87-A},
number={12},
pages={3091-3099},
abstract={We present a new approach to the power modeling of synthesizable soft macros, which uses the characteristics of individual input signals for high accuracy. We also present the parameterized power model, developed using the proposed approach, which can relieve us from the power characterization for all possible macro sizes. Extensive experiments illustrate that the proposed approaches exhibit the overall modeling errors below 4.24% and 4.71% for benchmark macros before and after parameterization, when compared with the results of gate-level analysis.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Power Modeling of Synthesizable Soft Macros
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3091
EP - 3099
AU - Kyung Tae DO
AU - Yang Hyo KIM
AU - Young Hwan KIM
AU - Jung Yun CHOI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2004
AB - We present a new approach to the power modeling of synthesizable soft macros, which uses the characteristics of individual input signals for high accuracy. We also present the parameterized power model, developed using the proposed approach, which can relieve us from the power characterization for all possible macro sizes. Extensive experiments illustrate that the proposed approaches exhibit the overall modeling errors below 4.24% and 4.71% for benchmark macros before and after parameterization, when compared with the results of gate-level analysis.
ER -
English
