大型复杂SoC设计中的优化质量评估挑战与解决方案

R. Venkatraman, Shrikrishna Pundoor, Arun Koithyar, M. Rao, J. Rao
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引用次数: 2

摘要

在当今的芯片设计场景中,大型片上系统(SoC)设计的设计优化在关注的数量方面提出了重大挑战。虽然优化方法侧重于设计时间、功率和可达性等关键方面,但目前解决方案中使用的抽象方法没有对几个关键方面进行建模,从而导致局部区域的结果质量可能很差(QoR)。因此,在当今的设计中,用于评估各个方面的设计质量指标的定义是一个关键的要求。在本文中,我们强调了大型复杂soc设计中的关键挑战,并提出了一些设计指标,以确定需要改进的问题领域。我们强调,当考虑相关成本函数的设计级平均时,传统的抽象方案往往会掩盖这些问题。我们提出了这些指标的结果,并说明了为什么不解决这些潜在的瓶颈可能会导致整体设计关闭的重大挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation Quality Assessment in Large, Complex SoC Designs Challenges and Solutions
Design optimisation of large system-on-chip (SoC) designs presents significant challenges in terms of the number of care-abouts in today's chip design scenario. While optimisation approaches have focused on key aspects like design timing, power and routability, there are several critical aspects that do not get modelled by the abstraction approaches used in current solutions, resulting in local areas of potentially bad quality of results (QoR). The definition of design quality metrics for assessing various aspects of interest thus comes out as a key requirement in designs today. In this paper, we highlight the key challenges in the design of large, complex SoCs and propose some design metrics that identify problem areas for improvement. We highlight how conventional abstraction schemes tend to mask such problems when looking at design-level averaging for the relevant cost-functions. We present the results of these metrics and also show why not resolving some of these potential bottle-necks could lead to significant challenges in overall design closure.
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