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
Dalam makalah ini, kaedah Stochastic Non-Homogeneous ARnoldi (SNHAR) dicadangkan untuk analisis rangkaian grid kuasa pada cip dengan adanya variasi proses. Dalam kaedah SNHAR, kaedah stokastik berasaskan huru-hara polinomial digunakan untuk mengendalikan variasi grid kuasa. Berbeza daripada kaedah StoEKS sedia ada yang menggunakan kaedah Krylov Subspace (EKS) lanjutan untuk mengira pekali huru-hara polinomial, kaedah ARnoldi (NHAR) Tidak Homogen (NHAR) yang cekap pengiraan digunakan dalam kaedah SNHAR untuk mengira pekali bagi huru-hara polinomial. Berbanding dengan kaedah EKS, kaedah NHAR mempunyai kestabilan berangka yang unggul dan boleh mencapai ketepatan yang lebih tinggi dengan kos pengiraan yang lebih rendah. Hasilnya, SNHAR boleh menangkap ciri stokastik rangkaian grid kuasa pada cip dengan ketepatan yang lebih tinggi, tetapi kos pengiraan lebih rendah daripada StoEKS.
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Salinan
Zhihua GUI, Fan YANG, Xuan ZENG, "Stochastic Non-homogeneous Arnoldi Method for Analysis of On-Chip Power Grid Networks under Process Variations" in IEICE TRANSACTIONS on Electronics,
vol. E94-C, no. 4, pp. 504-510, April 2011, doi: 10.1587/transele.E94.C.504.
Abstract: In this paper, a Stochastic Non-Homogeneous ARnoldi (SNHAR) method is proposed for the analysis of the on-chip power grid networks in the presence of process variations. In SNHAR method, the polynomial chaos based stochastic method is employed to handle the variations of power grids. Different from the existing StoEKS method which uses extended Krylov Subspace (EKS) method to compute the coefficients of the polynomial chaos, a computation-efficient and numerically stable Non-Homogeneous ARnoldi (NHAR) method is employed in SNHAR method to compute the coefficients of the polynomial chaos. Compared with EKS method, NHAR method has superior numerical stability and can achieve remarkably higher accuracy with even lower computational cost. As a result, SNHAR can capture the stochastic characteristics of the on-chip power grid networks with higher accuracy, but even lower computational cost than StoEKS.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.E94.C.504/_p
Salinan
@ARTICLE{e94-c_4_504,
author={Zhihua GUI, Fan YANG, Xuan ZENG, },
journal={IEICE TRANSACTIONS on Electronics},
title={Stochastic Non-homogeneous Arnoldi Method for Analysis of On-Chip Power Grid Networks under Process Variations},
year={2011},
volume={E94-C},
number={4},
pages={504-510},
abstract={In this paper, a Stochastic Non-Homogeneous ARnoldi (SNHAR) method is proposed for the analysis of the on-chip power grid networks in the presence of process variations. In SNHAR method, the polynomial chaos based stochastic method is employed to handle the variations of power grids. Different from the existing StoEKS method which uses extended Krylov Subspace (EKS) method to compute the coefficients of the polynomial chaos, a computation-efficient and numerically stable Non-Homogeneous ARnoldi (NHAR) method is employed in SNHAR method to compute the coefficients of the polynomial chaos. Compared with EKS method, NHAR method has superior numerical stability and can achieve remarkably higher accuracy with even lower computational cost. As a result, SNHAR can capture the stochastic characteristics of the on-chip power grid networks with higher accuracy, but even lower computational cost than StoEKS.},
keywords={},
doi={10.1587/transele.E94.C.504},
ISSN={1745-1353},
month={April},}
Salinan
TY - JOUR
TI - Stochastic Non-homogeneous Arnoldi Method for Analysis of On-Chip Power Grid Networks under Process Variations
T2 - IEICE TRANSACTIONS on Electronics
SP - 504
EP - 510
AU - Zhihua GUI
AU - Fan YANG
AU - Xuan ZENG
PY - 2011
DO - 10.1587/transele.E94.C.504
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E94-C
IS - 4
JA - IEICE TRANSACTIONS on Electronics
Y1 - April 2011
AB - In this paper, a Stochastic Non-Homogeneous ARnoldi (SNHAR) method is proposed for the analysis of the on-chip power grid networks in the presence of process variations. In SNHAR method, the polynomial chaos based stochastic method is employed to handle the variations of power grids. Different from the existing StoEKS method which uses extended Krylov Subspace (EKS) method to compute the coefficients of the polynomial chaos, a computation-efficient and numerically stable Non-Homogeneous ARnoldi (NHAR) method is employed in SNHAR method to compute the coefficients of the polynomial chaos. Compared with EKS method, NHAR method has superior numerical stability and can achieve remarkably higher accuracy with even lower computational cost. As a result, SNHAR can capture the stochastic characteristics of the on-chip power grid networks with higher accuracy, but even lower computational cost than StoEKS.
ER -