Factoring variability in the Design/Technology Co Optimisation (DTCO) in advanced CMOS

A. Asenov
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引用次数: 0

Abstract

Summary form only given. This paper describes the fully automated GSS tool flow, which bridges the gap between Technology Computer Aided Design (TCAD) at the transistor level, and circuit simulations and verification. The purpose of the tool flow is twofold: (i) to allow rapid simulation-based Design-Technology Co-Optimisation (DTCO) and (ii) to allow generation of accurate compact models for Preliminary Design Kit (PDK) development at the early stages of new technology development. The aim is to capture accurately process, statistical and time dependent variability in the DTCO and early PDKs. The operation of the automated tool flow is exemplified in the comprehensive PDK compact model development for a 14 nm SOI FinFET process, and the corresponding transistor / SRAM cell co-optimisation.
在先进CMOS的设计/技术Co优化(DTCO)中考虑可变性
只提供摘要形式。本文描述了完全自动化的GSS工具流程,它在晶体管级的技术计算机辅助设计(TCAD)与电路仿真和验证之间架起了桥梁。工具流的目的有两个:(i)允许基于仿真的快速设计技术协同优化(DTCO)和(ii)允许在新技术开发的早期阶段为初步设计套件(PDK)开发生成精确的紧凑模型。目的是准确捕获过程,统计和时间依赖的变化在DTCO和早期pdk。自动化工具流程的操作在14纳米SOI FinFET工艺的全面PDK紧凑模型开发以及相应的晶体管/ SRAM单元协同优化中得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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