规则VLSI结构的性能宏观建模与优化

P. Hallam, T. I. Pritchard, G. C. Townsend
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引用次数: 0

摘要

这项工作的目的是为常规VLSI结构的自动性能优化开发一个环境。该环境应使设计人员很少或没有优化理论或IC设计技术知识,以指定,创建和优化常规VLSI结构的性能。SRAM最初被用作开发这种环境的常规VLSI结构。宏观建模用于提高设计抽象水平,从而可以指定超大规模集成电路结构的性能,并开发出新的准确、快速的性能模型。然后开发了一种新的数值优化技术,该技术使加权和公式能够搜索非凸设计曲面,并证明该技术适用于一般的集成电路性能优化。然后使用几种不同的SRAM设计来证明宏观模型和优化环境的有效性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance macromodelling and optimization of regular VLSI structures
The objective of this work was to develop an environment for the automated performance optimization of regular VLSI structures. The environment should enable designers with little or no knowledge of optimization theory or IC design technology to specify, create and optimize the performance of regular VLSI structures. The SRAM was initially used as the regular VLSI structure with which to develop such an environment. Macromodelling was used to increase the level of design abstraction at which the performance of a VLSI structure could be specified and new accurate, fast performance models developed. A novel numerical optimization technique which enabled a weighted sum formulations to search nonconvex design surfaces was then developed and shown to be applicable to IC performance optimization in general. Several different SRAM designs were then used to demonstrate the effectiveness and efficiency of the macromodels and optimizing environment.<>
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