摘要:
A model reduction method utilizing the rational Arnoldi method with adaptive orders (RAMAO) is applied to high-speed VLSI interconnect models. The method is based on an extension of the classical multi-point Pade approximation, using the rational Arnoldi iteration approach. Given a set of predetermined expansion points, an exact expression for the error between the output moment of the original system and that of the reduced-order system, related to each expansion point, is derived first. In each iteration of the proposed RAMAO algorithm, the expansion frequency corresponding to the maximum output moment error will be chosen. Hence, the corresponding reduced-order model yields the greatest improvement in output moments among all reduced-order models of the same order.
摘要:
A method and apparatus for designing low-order linear-phase IIR filters is disclosed. Given an FIR filter, the method utilizes a new Krylov subspace projection method, called the rational Arnoldi method with adaptive orders, to synthesize an approximated IIR filter with small orders. The method is efficient in terms of computational complexity. The synthesized IIR filter can truly reflect essential dynamical features of the original FIR filter and indeed satisfies the design specifications. In particular, the linear-phase property is stilled remained in the passband.
摘要:
A method for reordering a scan chain meets given constraints and minimizes peak power dissipation. The given constraints include a maximum peak power dissipation, a maximum scan chain length and a maximum distance between two successive registers. The method includes embedding a developed tool into an existing VLSI design flow for low-power circuit designs. Furthermore, the characteristics quickly judge if the problem has corresponding feasible solutions and searching the optimal solution. Modified data from the given scan chain declaration data and the scan pattern data, which satisfy the constraints, can be obtained.
摘要:
A method for efficiently estimating crosstalk noise of high-speed VLSI interconnects models high-speed VLSI interconnects as lumped RLG coupled frees. An inductive crosstalk noise waveform can be accurately estimated in an efficient manner using a linear time moment computation technique in conjunction with a projection-based order reduction method. Recursive formulas of moment computations for coupled RC trees are derived taking into consideration of both self inductances and mutual inductances. Also, analytical formulas of voltage moments at each node will be derived explicitly. These formulas can be efficiently implemented for use in crosstalk estimations.
摘要:
The work proposes a model reduction method, the rational Arnoldi method with adaptive orders (RAMAO), to be applied to high-speed VLSI interconnect models. It is based on an extension of the classical multi-point Pade approximation, using the rational Arnoldi iteration approach. Given a set of predetermined expansion points, an exact expression for the error between the output moment of the original system and that of the reduced-order system, related to each expansion point, is derived first. In each iteration of the proposed RAMAO algorithm, the expansion frequency corresponding to the maximum output moment error will be chosen. Hence, the corresponding reduced-order model yields the greatest improvement in output moments among all reduced-order models of the same order.
摘要:
A new moment computation technique for general lumped R(L)C interconnect circuits with multiple resistor loops is proposed. Using the concept of tearing, a lumped R(L)C network can be partitioned into a spanning tree and several resistor links. The contributions of network moments from each tree and the corresponding links can be determined independently. By combining the conventional moment computation algorithms and the reduced ordered binary decision diagram (ROBDD), the proposed method can compute system moments efficiently. Experimental results have demonstrate that the proposed method can indeed obtain accurate moments and is more efficient than the conventional approach.
摘要:
A method and apparatus for designing low-order linear-phase IIR filters is disclosed. Given an FIR filter, the method utilizes a new Krylov subspace projection method, called the rational Arnoldi method with adaptive orders, to synthesize an approximated IIR filter with small orders. The method is efficient in terms of computational complexity. The synthesized IIR filter can truly reflect essential dynamical features of the original FIR filter and indeed satisfies the design specifications. In particular, the linear-phase property is stilled remained in the passband.
摘要:
An interconnect model-order reduction method for reduction of a nano-level semiconductor interconnect network as an original interconnect network by using iteration-based Arnoldi algorithms disclosed. The method is performed based on a projection method and has become a necessity for efficient interconnect modeling and simulations. To select order of the reduced-order model that can efficiently reflect essential dynamics of the original interconnect network, a residual error between transfer functions of the original interconnect network and the reduced interconnect model may be considered as a reference in determining if the iteration process should end, analytical expressions of the residual error being derived herein. Furthermore, the approximate transfer function of the reduced interconnect model may also be expressed as an addition of the original interconnect model and some additive perturbations. A perturbation matrix is only related with resultant vectors at a previous step of the Arnoldi algorithm. Therefore, the residual error information may be taken as a reference for the order selection scheme used in Krylov subspace model-order algorithm.
摘要:
A method for efficiently estimating crosstalk noise of nanometer VLSI interconnects is provided. In the invention, nanometer VLSI interconnects are modeled as nonuniform distributed RLC coupled trees. The efficiency and the accuracy of moment computation of distributed lines can be shown that outperform those of lumped ones. The inductive crosstalk noise waveform can be accurately estimated in an efficient manner using the linear time moment computation technique in conjunction with the projection-based order reduction method. Recursive formulas of moment computations for coupled RC trees are derived with considering both self inductances and mutual inductances. Also, analytical formulas of voltage moments at each node will be derived explicitly. These formulas can be efficiently implemented for crosstalk estimations.
摘要:
A method for efficiently estimating crosstalk noise of high-speed VLSI interconnects is provided. In the invention, high-speed VLSI interconnects are modeled as lumped RLC coupled trees. The inductive crosstalk noise waveform can be accurately estimated in an efficient manner using the linear time moment computation technique in conjunction with the projection-based order reduction method. Recursive formulas of moment computations for coupled RC trees are derived with considering both self inductances and mutual inductances. Also, analytical formulas of voltage moments at each node will be derived explicitly. These formulas can be efficiently implemented for crosstalk estimations.