收缩矩阵乘数

Liang Lu, Weiqiang Liu, Máire O’Neill, E. Swartzlander
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引用次数: 21

摘要

量子点元胞自动机(QCA)技术是CMOS技术的一个很有前途的替代品。它具有速度快、占地面积小、功耗低等特点,具有很大的吸引力。为了探索QCA技术的特点,研究了数字电路的设计方法。由于该技术固有的线延迟,QCA似乎特别适合于流水线架构。收缩数组利用了流水线和并行性。因此,本文对QCA技术中的收缩阵列设计进行了研究。设计并分析了第一收缩矩阵乘法器的实例。结果表明,通过将收缩阵列结构应用于QCA设计,可以获得显着的好处,特别是在大收缩阵列尺寸时,甚至比应用于基于cmos的技术时更明显。与CMOS技术相比,QCA在速度和面积方面具有显着优势,例如,与相同的CMOS 32nm实现相比,该提出的矩阵乘法器设计的面积要小12倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QCA Systolic Matrix Multiplier
Quantum-dot Cellular Automata (QCA) technology is a promising alternative to CMOS technology. It is attractive due to its fast speed, small area and low power consumption. To explore the characteristics of QCA technology, digital circuit design approaches have been investigated. Due to the inherent wire delay in this technology, QCA appears to be suitable for pipelined architectures particularly. Systolic arrays take advantage of pipelining and parallelism. Therefore, an investigation into systolic array design in QCA technology is provided in this paper. A case study of the first systolic matrix multiplier is designed and analyzed. The results show that by applying the systolic array structure to QCA designs, significant benefits can be achieved particular with large systolic array size, even more so than when applied to CMOS-based technology. QCA has significant advantages in terms of speed and area over CMOS technology, for instance, a factor of 12 smaller in terms of the area in this proposed matrix multiplier design when compared with same CMOS 32nm implementation.
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