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Theory, Design, Implementation and Automatic Compilation of Adaptive Circuits for Built-in Self-Repairable USLI/MCM Chips

Theory, Design, Implementation and Automatic Compilation of Adaptive Circuits for Built-in Self-Repairable USLI/MCM Chips
内置自修复USLI/MCM芯片自适应电路的理论、设计、实现和自动编译
批准号:
9312604
负责人:
Pinaki Mazumder
金额:
$18.29万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1994
资助国家:
美国
项目状态:
已结题
起止时间:
1994-03-01 至 1998-09-30

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中文摘要
翻译
本研究的目标是开发一种创新和统一的方法来设计可自我修复的超大型集成(ULSI)电路和多芯片模块(MCM)芯片。本研究将利用自适应电路提供的组合优化能力,该电路由连接可编程电阻网络的简单阈值设备组成,目的是为硬件设备增加自我修复能力。拟议的研究将分三个阶段进行。在第一阶段,将建立规则阵列逻辑和非结构化随机逻辑修复问题的理论模型,并进行大量仿真以测量自适应自修复电路的性能。在第二阶段,将采用CMOS技术设计自适应电路,并制作实验芯片作为“证明”进行测试。概念。”在第三阶段,将开发软件,使所提出的自适应内置自修复电路能够通过VLSI/CAD软件自动合成并纳入宏块中。该项目开创了一个新的研究领域,是内置自测试(BIST)和可测试性设计(DFT)领域正在进行的工作的自然续集。
英文摘要
The goal of this research is to develop an innovative and unified methodology for designing self-repairable ultra-large integated (ULSI) circuits and multi-chip module (MCM) chips. This research will exploit the combinatorial optimization capabilities offered by adaptive circuits consisting of simple threshold devices interconnected programmable resistive networks for the purpose of adding a self-repair capability to hardware devices. The proposed research will be conducted in three phases. In the first phase, theoretical models for both regular array logic and unstructured random logic repar problems will be developed, and entensive simulations will be performed to measure the performance of the adaptive self-repair circuits. In the second phase, adaptive circuits will be designed using CMOS technology, and experimental chips willbe fabricated and tested as "proofs. of concept." In the third phase, software will be developed to allow the proposed adaptive bult-in-self-repar circuits to be automatically synthesized by VLSI/CAD software and invorporated within macro blocks. This project initiates a new area of research that is a natural sequel to the on-going works in the fields of Built-In- Self-Testing (BIST) and Design for Testability (DFT).
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IPA award.
SHF: Small: THz surface Wave Based Interconnect Technology for Ultra-fast Data Transfer
Collaborative Research: A Neurodynamic Programming Approach for the Modeling, Analysis, and Control of Nanoscale Neuromorphic Systems
AF: Small: (Nano) Tera Hertz (THz) Plasmonic Technologies for the Beyond Moore's Laws Era
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