机器人逆动力学计算的高性能VLSI处理器

Somchai Kittichaikoonkit, M. Kameyama, T. Higuchi
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引用次数: 1

摘要

提出了一种面向超大规模集成电路(vlsi)的矩阵乘加处理器(MMP),用于线性阵列结构的最小延迟逆动力学计算。结果表明,基于奇偶替代计算的概念,逆动力学计算的延迟时间最小。利用奇偶替代计算的两类数据依赖图,系统地设计了MMP体系结构。通过布局评估证明,使用当前的VLSI技术(例如1 μ m CMOS)可以很容易地在单芯片上实现MMP。与先前报道的架构相比,延迟时间方面的性能更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-performance VLSI processor for robot inverse dynamics computation
A VLSI-oriented matrix multiply-addition processor (MMP) is proposed for minimum-delay-time inverse dynamics computation on a linear array structure. It is shown that the delay time of the inverse dynamics computation becomes minimum based on the concept of the odd-even alternative computation. The MMP architecture is systematically designed by using two types of data-dependence graphs of the odd-even alternative computation. It is demonstrated by the layout evaluation that the MMP can be easily implemented in a single chip using the current VLSI technology (e.g. 1 mu m CMOS). The performance with regard to the delay time is higher than for previously reported architectures.<>
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