Research Article | Open Access

Volume 2011 |Article ID 610637 | https://doi.org/10.5402/2011/610637

Héctor Vázquez-Leal, Roberto Castañeda-Sheissa, Felipe Rabago-Bernal, Luis Hernández-Martínez, Arturo Sarmiento-Reyes, Uriel Filobello-Niño, "Powering Multiparameter Homotopy-Based Simulation with a Fast Path-Following Technique", International Scholarly Research Notices, vol. 2011, Article ID 610637, 7 pages, 2011. https://doi.org/10.5402/2011/610637

# Powering Multiparameter Homotopy-Based Simulation with a Fast Path-Following Technique

Accepted23 Aug 2011
Published31 Oct 2011

#### Abstract

The continuous scaling for fabrication technologies of electronic circuits demands the design of new and improved simulation techniques for integrated circuits. Therefore, this work shows how the hypersphere technique can be adapted and applied to trace a multiparameter homotopy. Besides, we present a path-following technique based on circles (evolved from hypersphere), which is faster, and simpler to be implemented than hypersphere technique. Last, a comparative analysis between both techniques applied to simulation of circuits with bipolar transistors will be shown.

#### 1. Introduction

The increment of the complexity of circuits influence the scientific progress in the simulation techniques area for integrated circuits. Also, homotopy techniques have been introduced as a useful tool in the area of operating point solution for circuits , due to the Newton-Raphson (NR) method (widely used) which shows convergence problems  like oscillation and divergence.

#### 2. Multiparameter Homotopy

The first step to formulate a homotopy is to establish the equilibrium equation to be solved; it is formulated from Kirchhoff laws, being defined as where represents the electrical variables of the circuit and is the number of electrical variables.

Multiparameter homotopies  are characterized by adding more than one extra homotopy parameter to the equilibrium equation. When homotopy parameters are adjusted to zero, the solution for becomes trivial, and when parameters reach value of one, then the operating point is located. The multiparameter homotopy function can be represented as where homotopy parameters are and is the number of homotopy parameters.

Multiparameter homotopy  has been proposed in order to avoid fork bifurcations, singularities, among other problems that can be encountered with homotopy paths. Besides, as for the uniparametric  and multiparameter homotopies, the tracing technique [10, 11] is a fundamental tool capable of affecting the convergence, speed, and number of solutions located. Therefore, it is proposed to apply two tracing techniques for multiparameter homotopy, both will be described in the following sections.

#### 3. Tracing Techniques

In order to apply tracing techniques described in this paper, a biparametric homotopy based in Newton’s homotopy method will be used as an example:

With the existence of two parameters ( and ), two simultaneous deformations or transformations are produced: one in function and another in function . When , then Hence, homotopy function is satisfied. Besides, when becomes so the found solution of is the solution of the equilibrium equation. Nonetheless, as function has two extra variables, it is necessary to add two equations to the system in order to be solved using more conventional techniques like NR.

(1) Equation
One equation is added to define path , which will be named parametric function . This equation traverses three points : , , and . The proposed equation is where is defined by user, as shown in Figure 1(a). The range of values for and is .

(2) Equation
Hypersphere equation is added : where is the center of the hypersphere (which adjusts its value each iteration) and is the hypersphere radius (step size).

The summary of the procedures consists in the following steps  (see Figure 1(b)).(1)The first sphere is established with center located at and the equation system is solved (3.1), (3.4), and (3.5) using the NR method (setting as an initial point), locating point . (2)A new hypersphere is created with center at . (3)Using points and , it is possible to create a prediction, which touches hypersphere at point ; it is used as initial point for the NR method, until locating point on the homotopy path. (4)Steps 2 and 3 are successively repeated (updating hypersphere’s center after each iteration) until crossing point . (5)Points before and after are used to perform an interpolation . The type of interpolation employed in this paper is linear multidimensional interpolation, which produces an approximation of solution for the equilibrium equation. (6)Finally, using as initial point in the NR method, the precision for the operating point is improved.

It is possible to replace (3.5) for the circle equation, in function of the homotopy parameters: where . The rest of the steps to implement the numerical continuation are the same as the hypersphere technique already described.

#### 4. Study Case: Circuit with Bipolar Transistors and a Diode

The following circuit  (see Figure 2) contains nine solutions and has become the reference circuit for the homotopy applied to circuit analysis. Using the system reported by , equilibrium equation is augmented where , are the voltage drop between base-emitter terminals for each transistor in the circuit (see Figure 2) and is the second homotopy parameter. The complete homotopy formulation can be established by using the following equations:(i)the augmented equilibrium equation (4.1), (ii)the homotopy function equation (3.1),(iii)the parametric function (3.4), (iv)the hypersphere function (3.5) or circle function (3.6), which depends on the selected technique.

Table 1 presents in summary the results of performing the tracing of four paths with different initial points (, , , and ), each one. This process was repeated for both tracing techniques, showing the results in Figures 3(a) and 3(b). Comparing both techniques, there are two interesting conclusions to be highlighted: first, homotopy paths traced from the same initial point lead to the same solution; in fact, comparing paths point by point, it can be observed that it is the same path; second, despite that paths are identical, the circle technique required a fixed number of iterations (48); those are much less required than using the hypersphere method. In fact, from Table 1, it can be concluded that, at best (choosing initial point at ), the tracing technique for circles required 8.95 times less CPU time (by using MAPLE 15 software in an Intel Quad Core i7 processor at 2.6 GHz) than the hypersphere technique. Both tracing techniques employed radius of and a parametric function with .

 Hypersphere—Init. point where [ 𝜆 1 , 𝜆 2 ] = [ 0 , 0 ] No. Iter Time (Sec) Operating point [ 𝑣 1 , 𝑣 2 , 𝑣 3 , 𝑣 4 ] where [ 𝜆 1 , 𝜆 2 ] = [ 1 , 1 ] 𝑥 𝑖 1 = [ − 5 , − 5 , − 5 , − 5 ] 519 7.70 𝑥 𝑠 1 = [ 0 . 3 8 3 0 , − 3 . 5 4 4 6 , 0 . 3 8 5 1 , − 4 . 0 9 9 0 ] 𝑥 𝑖 2 = [ − 1 , − 2 , − 1 , 0 ] 202 3.59 𝑥 𝑠 2 = [ 0 . 3 8 6 9 , − 4 . 6 3 2 1 , − 0 . 8 0 0 2 , 0 . 3 7 7 5 ] 𝑥 𝑖 3 = [ − 5 , − 0 . 5 , − 5 , 0 ] 216 4.06 𝑥 𝑠 3 = [ − 0 . 5 1 3 6 , 0 . 3 7 7 5 , − 0 . 9 6 8 2 , 0 . 3 7 7 5 ] 𝑥 𝑖 4 = [ − 1 , 0 , 0 , 0 ] 168 3.13 𝑥 𝑠 4 = [ − 1 . 0 5 1 0 , 0 . 3 7 7 5 , 0 . 3 8 4 5 , − 3 . 9 5 4 2 ] Circle—Init. point where [ 𝜆 1 , 𝜆 2 ] = [ 0 , 0 ] No. Iter Time (Sec) Operating point [ 𝑣 1 , 𝑣 2 , 𝑣 3 , 𝑣 4 ] where [ 𝜆 1 , 𝜆 2 ] = [ 1 , 1 ] 𝑥 𝑖 1 = [ − 5 , − 5 , − 5 , − 5 ] 48 0.86 𝑥 𝑠 1 = [ 0 . 3 8 3 0 , − 3 . 5 4 4 6 , 0 . 3 8 5 1 , − 4 . 0 9 9 0 ] 𝑥 𝑖 2 = [ − 1 , − 2 , − 1 , 0 ] 48 0.89 𝑥 𝑠 2 = [ 0 . 3 8 6 9 , − 4 . 6 3 2 1 , − 0 . 8 0 0 2 , 0 . 3 7 7 5 ] 𝑥 𝑖 3 = [ − 5 , − 0 . 5 , − 5 , 0 ] 48 0.74 𝑥 𝑠 4 = [ − 0 . 5 1 3 6 , 0 . 3 7 7 5 , − 0 . 9 6 8 2 , 0 . 3 7 7 5 ] 𝑥 𝑖 4 = [ − 1 , 0 , 0 , 0 ] 48 0.82 𝑥 𝑠 4 = [ − 1 . 0 5 1 0 , 0 . 3 7 7 5 , 0 . 3 8 4 5 , − 3 . 9 5 4 2 ]

Circles technique can be modified changing one of the homotopy parameters by an electrical variable of interest. For instance, the simulation was repeated from initial point , only changing the circle from (3.6) by where . The result was that the homotopy path already known was traced (see Figure 3(b)) with a total of 191 iterations (locating the same solution at ). Also, it is possible to use one of the two homotopy parameters with more than one electrical variable, to implement a reduced hypersphere. Therefore, in a forthcoming work the study of circles technique will be expanded and a possible application to simulate VLSI circuits will also be discussed.

#### 5. Conclusion

This work showed that it is possible to use the hypersphere technique to trace multiparameter homotopies. Besides, a tracing technique derived from hypersphere (circles) was introduced, which is simpler to program and faster than the hypersphere technique. These results make the circles technique an attractive tool to trace multiparameter homotopies.

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