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LPE Optimization with CLEVER/HIPEX/EXACT Linkage Methodology
1. Introduction On the cutting edge of LSI design, the accuracy of Layout Parasitic Extraction (LPE) tools is a critical issue to miniaturized LSI design of rules measuring 0.13 um or lower. The quantitative consideration of coupling capacitance based on three-dimensional calculation is indispensable. Conventional advanced LSI design tools and methodology are limited in their ability to optimize the LPE library. As a result, the discussion of LPE tool accuracy and extracted parasitic results lack significant quantitative generality. This article proposes a new methodology for verifying accuracy of LPE tools and optimizing the LPE library for today’s 0.13 um designs and the more scaled-down next generation LSI design of nodes at 100 nm or less.
2. Simulation Flow and Methodology Figure 1 is a LPE optimization simulation flow that links Silvaco’s CLEVER, HIPEX, and EXACT tools. The process includes four distinct stages.
Figure 1. Simulation flow of CLEVER/HIPEX/EXACT
Linkage Methodology. 3. LPE Library Optimization CLEVER distinguishes itself from other LPE methodologies by providing highly accurate parasitic capacitance and resistance targets for LPE library optimization (Figure 2). To demonstrate the accuracy of the CLEVER methodology, we will examine an example of a design rule scaled from 0.5um down to 0.13um.
Figure 2. Concept of LPE optimization.
Figure 3 is a CLEVER simulation that shows a portion of a 0.13um design rule. Coupling capacitance (Cpl) is a primary concern in a miniaturized design, so it is selected as optimization parameter. In this case, the same process condition is used for three different design rules.
4. Scaling Effect on Parasitic Capacitance Table 1 shows the result of simulation after optimization. Four nets were selected and capacitance was extracted and compared for each scaled design. The table breaks simulated capacitance down to three components: Ca [fF/um2], Cf [fF/um], and Cpl [fF]. The simplicity respective contribution ratio (%) to DSPF is also reported.
Table 1. Simulated capacitance.
Figure 4 shows comparison of the optimized Cpl – space curve according to three different design rules. The contribution of coupling capacitance increases with scale and is dominant in Table 1 and Figure 4. However, if Cpl is decreased, or scaled down, the reported errors may fluctuate wildly between different nets, even after the optimization process. This is because CLEVER considers the Cpl contribution on each respective net, reflecting each different three-dimensional situation. In the table, net RCQ is a special reference net that is designed with the same scale (0.13um) throughout.
Figure 4. Optimized Cpl – space curve
for Metal1
5. Conclusion Silvaco’s optimized approach is ideal for obtaining reasonable and accurate LPE results. This method offers the following advantages: Quantitative LPE extraction is possible when considering the three-dimensional effect and coupling capacitance effect, which are dominant with miniaturization and high integration of LSI, along with either advanced or heterogeneous process technology integration. CLEVER’s quantitative optimization target provides a physical base on which to analyze various complicated design cases with the proposed methodology. High optimization of LPE library. Accuracy verification of LPE extraction results. The consistency and quality that results from this methodology fully realizes the promise of “TCAD Driven CAD”.
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