The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Penulis membentangkan R2Kuasa, pendekatan yang berkesan untuk pengurangan rangkaian RC yang boleh direalisasikan dengan sumber arus bebas. Pendekatan yang dicadangkan adalah berdasarkan teori gangguan masukan untuk matriks-M dominan pepenjuru. Ketepatan voltan nod rangkaian yang dikurangkan, berbanding dengan rangkaian asal, dikekalkan mengikut susunan gangguan masuk yang dilakukan semasa pengurangan. R2Kuasa boleh digunakan untuk mengurangkan saiz rangkaian RC yang digunakan untuk memodelkan rangkaian kuasa SoC, untuk analisis IR-drop yang cekap. Eksperimen menunjukkan bahawa R2Kuasa mengurangkan saiz contoh industri sebanyak lebih daripada 95%, dengan ralat voltan nod relatif maksimum kurang daripada 0.012%.
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Salinan
Hong Bo CHE, Hyoun Soo PARK, Jin Wook KIM, Young Hwan KIM, "Realizable Reduction of RC Networks with Current Sources for Dynamic IR-Drop Analysis of Power Networks of SoCs" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 2, pp. 475-480, February 2009, doi: 10.1587/transfun.E92.A.475.
Abstract: The authors present R2Power, an effective approach to the realizable reduction of RC networks with independent current sources. The proposed approach is based on the entrywise perturbation theory for diagonally dominant M-matrices. The accuracy of the node voltages of the reduced network, as compared to those of the original network, is maintained on the order of the entrywise perturbation performed during reduction. R2Power can be used to reduce the size of RC networks used to model the power networks of SoCs, for efficient IR-drop analysis. Experiments showed that R2Power reduced the size of industrial examples by more than 95%, with maximum relative node voltage errors of less than 0.012%.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.475/_p
Salinan
@ARTICLE{e92-a_2_475,
author={Hong Bo CHE, Hyoun Soo PARK, Jin Wook KIM, Young Hwan KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Realizable Reduction of RC Networks with Current Sources for Dynamic IR-Drop Analysis of Power Networks of SoCs},
year={2009},
volume={E92-A},
number={2},
pages={475-480},
abstract={The authors present R2Power, an effective approach to the realizable reduction of RC networks with independent current sources. The proposed approach is based on the entrywise perturbation theory for diagonally dominant M-matrices. The accuracy of the node voltages of the reduced network, as compared to those of the original network, is maintained on the order of the entrywise perturbation performed during reduction. R2Power can be used to reduce the size of RC networks used to model the power networks of SoCs, for efficient IR-drop analysis. Experiments showed that R2Power reduced the size of industrial examples by more than 95%, with maximum relative node voltage errors of less than 0.012%.},
keywords={},
doi={10.1587/transfun.E92.A.475},
ISSN={1745-1337},
month={February},}
Salinan
TY - JOUR
TI - Realizable Reduction of RC Networks with Current Sources for Dynamic IR-Drop Analysis of Power Networks of SoCs
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 475
EP - 480
AU - Hong Bo CHE
AU - Hyoun Soo PARK
AU - Jin Wook KIM
AU - Young Hwan KIM
PY - 2009
DO - 10.1587/transfun.E92.A.475
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2009
AB - The authors present R2Power, an effective approach to the realizable reduction of RC networks with independent current sources. The proposed approach is based on the entrywise perturbation theory for diagonally dominant M-matrices. The accuracy of the node voltages of the reduced network, as compared to those of the original network, is maintained on the order of the entrywise perturbation performed during reduction. R2Power can be used to reduce the size of RC networks used to model the power networks of SoCs, for efficient IR-drop analysis. Experiments showed that R2Power reduced the size of industrial examples by more than 95%, with maximum relative node voltage errors of less than 0.012%.
ER -