Gain-based technology mapping for discrete-size cell libraries

Bo Hu, Yosinori Watanabe, A. Kondratyev, M. Marek-Sadowska
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引用次数: 1

Abstract

In this paper we describe a technology mapping technique based on the logical effort theory by I. Sutherland and R. Sproull (1991). First, we appropriately characterize a given standard cell library and extract from it a set of cell classes. Each cell-class is assigned a constant-delay model and corresponding load-bounds, which define the conditions of the delay model's validity. Next, we perform technology mapping using the classes determined in the first step. We propose several effective area-optimization heuristics which allow us to apply our algorithm directly to general graphs. Experimental results show that our gain-based mapping algorithm achieves reduced delay with less area, compared to the mapper in SIS by E. Sentovich et al. (1992). By adjusting the constant delay model associated with each class, we determine the area-delay trade-off curve. We achieve the best area-delay trade-off using a design-specific constant delay models.
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离散大小细胞库的基于增益的技术映射
本文描述了一种基于I. Sutherland和R. Sproull(1991)的逻辑努力理论的技术映射技术。首先,我们适当地描述给定的标准细胞库,并从中提取一组细胞类。每个单元格类被赋予一个恒定延迟模型和相应的负载边界,定义了延迟模型的有效性条件。接下来,我们使用第一步中确定的类执行技术映射。我们提出了几种有效的面积优化启发式算法,使我们能够将我们的算法直接应用于一般图。实验结果表明,与E. Sentovich et al.(1992)在SIS中的映射器相比,我们基于增益的映射算法实现了以更小的面积减少延迟。通过调整与每个类相关的恒定延迟模型,确定了区域延迟权衡曲线。我们使用特定于设计的常数延迟模型实现了最佳的区域延迟权衡。
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