Parameterized macrocells with accurate delay models for core-based designs

M. Mansour, Mohammad M. Mansour, A. Mehrotra
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引用次数: 4

Abstract

In this paper we propose a new design methodology targeted for core-based designs using parameterized macrocells (PMC's). This methodology provides the flexibility for instance-based cores to be easily customized for application requirements. By using few scaling parameters to characterize a PMC, a macrocell can be instantiated in virtually any size depending on the required performance. Moreover a new first-order macro delay model is proposed which is a function of the scaling parameters of the PMC which enables accurate delay predictions at the subsystem/core level. The proposed delay model is suitable for use by a delay optimizer to determine the optimum scaling parameters of individual PMC's in a core. A PMC library has been developed and used to design cores for communications applications. To demonstrate the effectiveness of the proposed methodology, several subsystems used in a channel LDPC decoder were synthesized using this library where the individual PMC's were optimized for minimum delay. The resulting custom-quality layout have areas ranging from 40/spl times/100 /spl mu/m/sup 2/ to 380/spl times/200 /spl mu/m/sup 2/ and delay in the range of 1.6 ns to 10 ns in 0.18 /spl mu/m, 1.8 V CMOS technology.
基于核心设计的具有精确延迟模型的参数化宏单元
在本文中,我们提出了一种新的设计方法,针对基于核心的设计使用参数化宏细胞(PMC's)。这种方法为基于实例的核心提供了灵活性,可以根据应用程序需求轻松定制。通过使用几个缩放参数来表征PMC,可以根据所需的性能实例化几乎任何大小的macrocell。此外,提出了一种新的一阶宏观延迟模型,该模型是PMC尺度参数的函数,可以在子系统/核心级上进行精确的延迟预测。所提出的延迟模型适合于延迟优化器用于确定核心中单个PMC的最佳缩放参数。开发了一个PMC库,并将其用于通信应用的核心设计。为了证明所提出方法的有效性,使用该库合成了信道LDPC解码器中使用的几个子系统,其中单个PMC被优化为最小延迟。由此产生的定制质量布局的面积范围从40/spl倍/100 /spl亩/米/sup 2/到380/spl倍/200 /spl亩/米/sup 2/,延迟范围为1.6 ns至10 ns, 0.18 /spl亩/米,1.8 V CMOS技术。
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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