IEICE TRANSACTIONS on Fundamentals
A Fuzzy-Theoretic Timing Driven Placement Method
Summary :
A new algorithm for timing driven placement based on the fuzzy theory is proposed. In this method, the signal delay on the longest path, the chip area and the total wire length can be simultaneously minimized. Introducing the probability measures of fuzzy events, falling down into the local optimal solutions can be avoided. At first, we define the fuzzy placement relation using the graph distance matrix and fuzzy distance relation matrix, and we give a new placement method based on the fuzzy placement relation and the probability measures of fuzzy events. Secondly, we extend this placement method so as to apply to the timing driven placement problem by introducing a fuzzy membership functions which represent the signal delay on the longest path and the chip area. Finally, experimental results are shown to compare our method with one of the previous methods.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E75-A No.10 pp.1280-1285
- Publication Date
- 1992/10/25
- Publicized
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- Special Section PAPER (Special Section on VLSI Design and CAD Algorithms)
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Ze Cang GU, Shoichiro YAMADA, Kunio FUKUNAGA, Shojiro YONEDA, "A Fuzzy-Theoretic Timing Driven Placement Method" in IEICE TRANSACTIONS on Fundamentals,
vol. E75-A, no. 10, pp. 1280-1285, October 1992, doi: .
Abstract: A new algorithm for timing driven placement based on the fuzzy theory is proposed. In this method, the signal delay on the longest path, the chip area and the total wire length can be simultaneously minimized. Introducing the probability measures of fuzzy events, falling down into the local optimal solutions can be avoided. At first, we define the fuzzy placement relation using the graph distance matrix and fuzzy distance relation matrix, and we give a new placement method based on the fuzzy placement relation and the probability measures of fuzzy events. Secondly, we extend this placement method so as to apply to the timing driven placement problem by introducing a fuzzy membership functions which represent the signal delay on the longest path and the chip area. Finally, experimental results are shown to compare our method with one of the previous methods.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e75-a_10_1280/_p
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@ARTICLE{e75-a_10_1280,
author={Ze Cang GU, Shoichiro YAMADA, Kunio FUKUNAGA, Shojiro YONEDA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fuzzy-Theoretic Timing Driven Placement Method},
year={1992},
volume={E75-A},
number={10},
pages={1280-1285},
abstract={A new algorithm for timing driven placement based on the fuzzy theory is proposed. In this method, the signal delay on the longest path, the chip area and the total wire length can be simultaneously minimized. Introducing the probability measures of fuzzy events, falling down into the local optimal solutions can be avoided. At first, we define the fuzzy placement relation using the graph distance matrix and fuzzy distance relation matrix, and we give a new placement method based on the fuzzy placement relation and the probability measures of fuzzy events. Secondly, we extend this placement method so as to apply to the timing driven placement problem by introducing a fuzzy membership functions which represent the signal delay on the longest path and the chip area. Finally, experimental results are shown to compare our method with one of the previous methods.},
keywords={},
doi={},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - A Fuzzy-Theoretic Timing Driven Placement Method
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1280
EP - 1285
AU - Ze Cang GU
AU - Shoichiro YAMADA
AU - Kunio FUKUNAGA
AU - Shojiro YONEDA
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E75-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 1992
AB - A new algorithm for timing driven placement based on the fuzzy theory is proposed. In this method, the signal delay on the longest path, the chip area and the total wire length can be simultaneously minimized. Introducing the probability measures of fuzzy events, falling down into the local optimal solutions can be avoided. At first, we define the fuzzy placement relation using the graph distance matrix and fuzzy distance relation matrix, and we give a new placement method based on the fuzzy placement relation and the probability measures of fuzzy events. Secondly, we extend this placement method so as to apply to the timing driven placement problem by introducing a fuzzy membership functions which represent the signal delay on the longest path and the chip area. Finally, experimental results are shown to compare our method with one of the previous methods.
ER -
English
