Power supply noise analysis methodology for deep-submicron VLSI chip designThis paper describes a new design methodology to analyzethe on-chip power supply noise for high-performance microprocessors.Based on an integrated package-level andchip-level power bus model, and a simulated switching circuitmodel for each functional block, this methodology offersthe most complete and accurate analysis of Vdd distributionfor the entire chip. The analysis results not only providedesigners with the inductive ΔI noise and the resistive IRdrop data at the same time, but also allow designers to easilyidentify the hot spots on the chip and ΔV across the chip.Global and local optimization such as buffer sizing, powerbus sizing, and on-chip decoupling capacitor placement canthen be conducted to maximize the circuit performance andminimize the noise.
A block rational Arnoldi algorithm for multipoint passive model-order reduction of multiport RLC networksRecent work in the area of model-order reduction for RLC interconnect networks has been focused on building reduced-order models that preserve the circuit-theoretic properties of the network, such as stability, passivity, and synthesizability. Passivity is the one circuit-theoretic property that is vital for the successful simulation of a large circuit netlist containing reduced-order models of its interconnect networks. Non-passive reduced-order models may lead to instabilities even if they are themselves stable. In this paper, we address the problem of guaranteeing the accuracy and passivity of reduced-order models of multiport RLC networks at any finite number of expansion points. The novel passivity-preserving model-order reduction scheme is a block version of the rational Arnoldi algorithm. The scheme reduces to that of the PRIMA algorithm when applied to a single expansion point at zero frequency. Although the treatment of this paper is restricted to expansion points that are on the negative real axis, it is shown that the resulting passive reduced-order model is superior in accuracy to the one that would result from expanding the original model around a single point. Nyquist plots are used to illustrate both the passivity and the accuracy of the reduced-order models.
First-principles calculations of the theoretical tensile strength of copperE. Esposito, Anna Carlsson, David D. Ling et al.|Philosophical magazine. A/Philosophical magazine. A. Physics of condensed matter. Structure, defects and mechanical properties|1980 Abstract Three ab initio calculations of the theoretical tensile strength of an ideal crystalline metal (f.c.c. Cu) are presented. The first two employ a full band-theoretic approach to compute the cohesive energy as a function of uniaxial lattice deformation. One of these is based on non-self-consistent KKR calculations using the muffin-tin approximation. The other uses the self-consistent augmented spherical wave (ASW) method. The third calculation is based on a new, non-empirical pair potential φ that can be expressed formally in terms of the cohesive energy E and can be evaluated if E is known as a function of the nearest-neighbour distance r 1. The theoretical tensile strengths obtained using these three approaches differ by about 40%, but all are consistent with available measurements.
Efficient full-wave electromagnetic analysis via model-order reduction of fast integral transformsArticle Free Access Share on Efficient full-wave electromagnetic analysis via model-order reduction of fast integral transforms Authors: Joel R. Phillips MIT Department of EECS, Cambridge, MA MIT Department of EECS, Cambridge, MAView Profile , Eli Chiprout IBM Research Laboratory for Advanced Microprocessor Design, Austin, TX and IBM T. J. Watson Research Center, Yorktown Heights, NY IBM Research Laboratory for Advanced Microprocessor Design, Austin, TX and IBM T. J. Watson Research Center, Yorktown Heights, NYView Profile , David D. Ling IBM T. J. Watson Research Center, Yorktown Heights, NY IBM T. J. Watson Research Center, Yorktown Heights, NYView Profile Authors Info & Claims DAC '96: Proceedings of the 33rd annual Design Automation ConferenceJune 1996 Pages 377–382https://doi.org/10.1145/240518.240590Published:01 June 1996Publication History 39citation410DownloadsMetricsTotal Citations39Total Downloads410Last 12 Months11Last 6 weeks3 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Zeros and passivity of Arnoldi-reduced-order models for interconnect networksCAD tools and research in the area of reduced-ordermodeling of large linear interconnect networks have evolvedfrom merely finding a Pad' e approximation for the givennetwork transfer function to finding an approximate transferfunction that preserves such circuit-theoretic propertiesof the network as stability, passivity, and RLC synthesizability.In particular, preserving passivity guarantees thatthe reduced-order models will be well-behaved when embeddedback in the circuit where the interconnect networkoriginated. While stability can be ascertained by studyingthe poles of the reduced-order transfer function, passivitydepends on both the poles and zeros of the networkdriving-point impedance. In this paper, we present a novelmethod for studying the zeros of reduced-order transferfunctions and show how it yields conclusions about passivityand synthesizability. Moreover, in order to obtain aguaranteed-passive reduced-order model for multiport RCnetworks, a new algorithm based on the Arnoldi iteration ispresented. This algorithm is as computationallyefficient asthe one used to generate guaranteed-stable reduced-ordermodels [Coordinate-transformed Arnoldi for generating guranteed stable reduced-order models for RLC circuits].