面向分布式寄存器体系结构的进程变化感知多场景高级综合算法

Koki Igawa, Youhua Shi, M. Yanagisawa, N. Togawa
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引用次数: 2

摘要

为了解决工艺变化问题,我们可以定义几个场景,每个场景对应于一个特定的LSI行为,例如典型情况场景和最坏情况场景。通过设计一个同时实现多种场景的LSI芯片,我们可以得到一个耐工艺变化的LSI芯片。在本文中,我们提出了一种针对新的分布式寄存器体系结构(称为HDR体系结构)的进程变化感知的低延迟和多场景高级综合算法。我们假设了两个场景,一个典型的场景和一个最坏的场景,并将它们实现在一个芯片上。我们首先独立地调度/绑定每个场景。之后,我们将典型情况和最坏情况的调度/绑定结果统一起来,从而生成一个通用的面积最小化平面图结果。实验结果表明,与现有的几种方法相比,我们的算法在不增加最坏情况延迟的情况下,将典型情况的延迟减少了50%。
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A process-variation-aware multi-scenario high-level synthesis algorithm for distributed-register architectures
In order to tackle a process-variation problem, we can define several scenarios, each of which corresponds to a particular LSI behavior, such as a typical-case scenario and a worst-case scenario. By designing a single LSI chip which realizes multiple scenarios simultaneously, we can have a process-variation-tolerant LSI chip. In this paper, we propose a process-variation-aware low-latency and multi-scenario high-level synthesis algorithm targeting new distributed-register architectures, called HDR architectures. We assume two scenarios, a typical-case scenario and a worst-case scenario, and realize them onto a single chip. We first schedule/bind each of the scenarios independently. After that, we commonize the scheduling/binding results for the typical-case and worst-case scenarios and thus generate a commonized area-minimized floorplan result. Experimental results show that our algorithm reduces the latency of the typical-case scenario by up to 50% without increasing the latency of the worst-case scenario, compared with several existing methods.
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