The Experts below are selected from a list of 258 Experts worldwide ranked by ideXlab platform

Hui Zheng - One of the best experts on this subject based on the ideXlab platform.

  • modeling and analysis of regular symmetrically structured power ground distribution networks
    Design Automation Conference, 2002
    Co-Authors: Hui Zheng, Larry Pileggi
    Abstract:

    In this paper we propose a novel and efficient methodology for modeling and analysis of regular symmetrically-structured power/ ground distribution networks. The modeling of inductive effects is simplified by a folding technique which exploits the symmetry in the power/ground distribution. Furthermore, employment of Susceptance [10,11] (inverse of inductance) models enables further simplification of the analysis, and is also shown to preserve the symmetric positive definiteness of the circuit equations. Experimental results demonstrate that our approach can provide up to 8x memory savings and up to10x speedup over the already efficient simulation based on the original sparse Susceptance matrix without loss of accuracy. Importantly, this work demonstrates that by employing limited regularity, one can create excellent power/ground distribution designs that are dramatically simpler to analyze, and therefore amenable to more powerful global design optimization.

  • Window-based Susceptance models for large-scale RLC circuit analyses
    Proceedings 2002 Design Automation and Test in Europe Conference and Exhibition, 2002
    Co-Authors: Hui Zheng, Byron L. Krauter, M. Beattie, L. Pileggi
    Abstract:

    Due to the increasing operating frequencies and the manner in which the corresponding integrated circuits and systems must be designed, the extraction, modeling and simulation of the magnetic couplings for final design verification can be a daunting task. In general, when modeling inductance and the associated return paths, one must consider the on-chip conductors as well as the system packaging. This can result in an RLC circuit size that is impractical for traditional simulators. In this paper we demonstrate a localized, window-based extraction and simulation methodology that employs the recently proposed Susceptance (the inverse of inductance matrix) concept. We provide a qualitative explanation for the efficacy of this approach, and demonstrate how it facilitates pre-manufacturing simulations that would otherwise be intractable. A critical aspect of this simulation efficiency is owed to a Susceptance-based circuit formation that we prove to be symmetric positive definite. This property, along with the sparsity of the Susceptance matrix, enables the use of some advanced sparse matrix solvers. lye demonstrate this extraction and simulation methodology on some industrial examples.

  • Robust and passive model order reduction for circuits containing Susceptance elements
    IEEE ACM International Conference on Computer Aided Design 2002. ICCAD 2002., 2002
    Co-Authors: Hui Zheng, Lawrence T. Pileggi
    Abstract:

    Numerous approaches have been proposed to address the overwhelming modeling problems that result from the emergence of magnetic coupling as a dominant performance factor for ICs and packaging. Firstly, model order reduction (MOR) methods have been extended to robustly capture very high frequency behaviors for large RLC systems via methods such as PRIMA with guaranteed passivity. In addition, new models of the magnetic couplings in terms of Susceptance (inverse of inductance) have shown great promise for robust sparsification of otherwise intractable inductance coupling-matrix problems. However, model order reduction via PRIMA for circuits that include Susceptance elements does not guarantee passivity. Moreover, Susceptance elements are incompatible with the path tracing algorithms that provide the fundamental runtime efficiency of RICE. In this paper, a novel MOR algorithm, SMOR, is proposed as an extension of ENOR which exploits the matrix properties of Susceptance-based circuits for runtime efficiency, and provides for a numerically stable, provably passive MOR using a new orthonormalization strategy.

  • Efficient reduction of Susceptance-based package models using PRIMA
    2002 IEEE 11th Topical Meeting on Electrical Performance of Electronic Packaging, 2002
    Co-Authors: M. Celik, Hui Zheng, Larry Pileggi
    Abstract:

    A modified PRIMA algorithm is proposed for robust and efficient reduced order modeling of large linear interconnect circuits that include sparse Susceptance (inverse of the inductance matrix) matrices to capture the magnetic couplings.

  • ICCAD - Robust and passive model order reduction for circuits containing Susceptance elements
    Proceedings of the 2002 IEEE ACM international conference on Computer-aided design - ICCAD '02, 2002
    Co-Authors: Hui Zheng, Larry Pileggi
    Abstract:

    Numerous approaches have been proposed to address the overwhelming modeling problems that result from the emergence of magnetic coupling as a dominant performance factor for ICsand packaging. Firstly, model order reduction (MOR) methods have been extended to robustly capture very high frequency behaviors for large RLC systems via methods such as PRIMA[8] with guaranteed passivity. In addition, new models of the magnetic couplings in terms of Susceptance (inverse of inductance) have shown great promise for robust sparsification of otherwise intractable inductance coupling-matrix problems [3--5]. However, model order reduction via PRIMA for circuits that include Susceptance elements does not guarantee passivity. Moreover, Susceptance elements are incompatible with the path tracing algorithms that provide the fundamental runtime efficiency of RICE [10]. In this paper a novel MOR algorithm, SMOR, is proposed as an extension of ENOR [11] which exploits the matrix properties of Susceptance-based circuits for runtime efficiency, and provides for a numerically stable, provably passive MOR using a new or-thonormalization strategy.

Larry Pileggi - One of the best experts on this subject based on the ideXlab platform.

  • modeling and analysis of regular symmetrically structured power ground distribution networks
    Design Automation Conference, 2002
    Co-Authors: Hui Zheng, Larry Pileggi
    Abstract:

    In this paper we propose a novel and efficient methodology for modeling and analysis of regular symmetrically-structured power/ ground distribution networks. The modeling of inductive effects is simplified by a folding technique which exploits the symmetry in the power/ground distribution. Furthermore, employment of Susceptance [10,11] (inverse of inductance) models enables further simplification of the analysis, and is also shown to preserve the symmetric positive definiteness of the circuit equations. Experimental results demonstrate that our approach can provide up to 8x memory savings and up to10x speedup over the already efficient simulation based on the original sparse Susceptance matrix without loss of accuracy. Importantly, this work demonstrates that by employing limited regularity, one can create excellent power/ground distribution designs that are dramatically simpler to analyze, and therefore amenable to more powerful global design optimization.

  • Efficient reduction of Susceptance-based package models using PRIMA
    2002 IEEE 11th Topical Meeting on Electrical Performance of Electronic Packaging, 2002
    Co-Authors: M. Celik, Hui Zheng, Larry Pileggi
    Abstract:

    A modified PRIMA algorithm is proposed for robust and efficient reduced order modeling of large linear interconnect circuits that include sparse Susceptance (inverse of the inductance matrix) matrices to capture the magnetic couplings.

  • ICCAD - Robust and passive model order reduction for circuits containing Susceptance elements
    Proceedings of the 2002 IEEE ACM international conference on Computer-aided design - ICCAD '02, 2002
    Co-Authors: Hui Zheng, Larry Pileggi
    Abstract:

    Numerous approaches have been proposed to address the overwhelming modeling problems that result from the emergence of magnetic coupling as a dominant performance factor for ICsand packaging. Firstly, model order reduction (MOR) methods have been extended to robustly capture very high frequency behaviors for large RLC systems via methods such as PRIMA[8] with guaranteed passivity. In addition, new models of the magnetic couplings in terms of Susceptance (inverse of inductance) have shown great promise for robust sparsification of otherwise intractable inductance coupling-matrix problems [3--5]. However, model order reduction via PRIMA for circuits that include Susceptance elements does not guarantee passivity. Moreover, Susceptance elements are incompatible with the path tracing algorithms that provide the fundamental runtime efficiency of RICE [10]. In this paper a novel MOR algorithm, SMOR, is proposed as an extension of ENOR [11] which exploits the matrix properties of Susceptance-based circuits for runtime efficiency, and provides for a numerically stable, provably passive MOR using a new or-thonormalization strategy.

  • DATE - Window-Based Susceptance Models for Large-Scale RLC Circuit Analyses
    Proceedings 2002 Design Automation and Test in Europe Conference and Exhibition, 1
    Co-Authors: Z. Zheng, Larry Pileggi, Michael W. Beattie, Byron L. Krauter
    Abstract:

    Due to the increasing operating frequencies and the mannerin which the corresponding integrated circuits and systemsmust be designed, the extraction, modeling andsimulation of the magnetic couplings for final design verificationcan be a daunting task. In general, when modeling inductanceand the associated return paths, one must considerthe on-chip conductors as well as the system packaging. Thiscan result in an RLC circuit size that is impractical for traditionalsimulators. In this paper we demonstrate a localized,window-based extraction and simulation methodologythat employs the recently proposed Susceptance (the inverseof inductance matrix) concept. We provide a qualitative explanationfor the efficacy of this approach, and demonstratehow it facilitates pre-manufacturing simulations that wouldotherwise be intractable. A critical aspect of this simulationefficiency is owed to a Susceptance-based circuit formulationthat we prove to be symmetric positive definite. Thisproperty, along with the sparsity of the Susceptance matrix,enables the use of some advanced sparse matrix solvers. Wedemonstrate this extraction and simulation methodology onsome industrial examples.

Kaushik Roy - One of the best experts on this subject based on the ideXlab platform.

  • an adaptive window based Susceptance extraction and its efficient implementation
    Design Automation Conference, 2003
    Co-Authors: Guoan Zhong, Cheng-kok Koh, Venkataramanan Balakrishnan, Kaushik Roy
    Abstract:

    The determination of the set (or window) of segments that are inductively coupled to a significant degree with a given segment plays a fundamental role in window-based techniques for the extraction of the Susceptance of interconnect structures. We present a measure that quantifies the degree of coupling between segments in a window, thereby paving the way for an adaptive scheme for determining the coupling window associated with each segment. This measure has the properties that: (i)~it is well-correlated with the simulation error that is inherent in window-based Susceptance extraction techniques, and (ii)~it can be computed efficiently using incremental and computation reuse techniques.

  • DAC - An adaptive window-based Susceptance extraction and its efficient implementation
    Proceedings of the 40th conference on Design automation - DAC '03, 2003
    Co-Authors: Guoan Zhong, Cheng-kok Koh, Venkataramanan Balakrishnan, Kaushik Roy
    Abstract:

    The determination of the set (or window) of segments that are inductively coupled to a significant degree with a given segment plays a fundamental role in window-based techniques for the extraction of the Susceptance of interconnect structures. We present a measure that quantifies the degree of coupling between segments in a window, thereby paving the way for an adaptive scheme for determining the coupling window associated with each segment. This measure has the properties that: (i)~it is well-correlated with the simulation error that is inherent in window-based Susceptance extraction techniques, and (ii)~it can be computed efficiently using incremental and computation reuse techniques.

C.b. Mclean - One of the best experts on this subject based on the ideXlab platform.

  • SVC behaviour under voltage collapse conditions
    IEEE Transactions on Power Systems, 1992
    Co-Authors: Ian A. Hiskens, C.b. Mclean
    Abstract:

    Under stressed conditions, it may be necessary for a power system to operate at a point where a voltage-Susceptance characteristic has a negative slope. The authors demonstrate that static VAR compensators (SVCs) can extend stable operation into that region. It is shown that short-term system stability is primarily governed by the interaction between the SVC control system and instantaneous voltage-Susceptance characteristics. Given that SVCs are stable in the short term, then long-term behavior is dependent on transformer trapping. These effects are explored. The consequences of SVCs encountering limits are also considered. >

P.f. Goldsmith - One of the best experts on this subject based on the ideXlab platform.

  • Quantum tunneling currents in a superconducting junction.
    Physical review letters, 1991
    Co-Authors: A.h. Worsham, N. G. Ugras, Dag Winkler, Daniel E. Prober, N.r. Erickson, P.f. Goldsmith
    Abstract:

    We have measured the full voltage dependence of the quantum conductance and quantum Susceptance which arise, respectively, from the dissipative and nondissipative quasiparticle tunneling currents in a superconductor-insulator-superconductor tunnel junction. Using a standing-wave technique, we measured the admittance of the tunnel junction at 87 GHz. The admittance is the sum of the quantum conductance and the quantum Susceptance. We report the first direct observation of the reactive quasiparticle singularity which is evident in the quantum Susceptance