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ROBDD-based area minimization synthesis for reconfigurable single-electron transistor arrays

机译:可重构单电子晶体管阵列基于ROBDD的面积最小化合成

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The power dissipation has become a crucial issue for most electronic circuit and system designs nowadays when fabrication processes exploit even deeper submicron technology. In particular, leakage power is becoming a dominant source of power consumption. In recent years, the reconfigurable single-electron transistor (SET) array has been proposed as an emerging circuit design style for continuing Moore's Law due to its ultra-low power consumption. Several automated synthesis techniques for area minimization have been developed for the reconfigurable SET array in the past few years. Nevertheless, most of those existing methods focus on variable and product term reordering during SET mapping. In fact, minimizing the number of product terms can greatly reduce the area as well, which has not been well addressed before. In this paper, we propose a dynamic shifting based variable ordering algorithm that can minimize the number of disjoint sum-of-product terms extracted from the given ROBDD. Experimental results show that the proposed method can achieve an area reduction of up to 49% as compared to current state-of-the-art techniques.
机译:如今,当制造工艺采用更深的亚微米技术时,功耗已成为大多数电子电路和系统设计的关键问题。尤其是,泄漏功率正成为功耗的主要来源。近年来,由于其超低功耗,可重配置单电子晶体管(SET)阵列已被提出作为一种持续的摩尔定律的新兴电路设计风格。在过去的几年中,已经针对可重构SET阵列开发了几种用于面积最小化的自动合成技术。然而,大多数现有方法集中于SET映射期间的变量和乘积项重新排序。实际上,最小化乘积项的数量也可以大大减小面积,这在以前还没有得到很好的解决。在本文中,我们提出了一种基于动态移位的变量排序算法,该算法可以最大程度地减少从给定ROBDD中提取的不相乘积和项的数量。实验结果表明,与当前的最新技术相比,该方法可将面积减少多达49%。

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