Design of a low-power RNS-enhanced arithmetic unit

Piotr Patronik, S. Piestrak
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引用次数: 1

Abstract

In this paper, we propose a new approach to use Residue Number System (RNS) to design an arithmetic coprocessing unit, which allows to parallelize execution of addition and multiplication. The chosen RNS is a 5-moduli set composed of a larger even modulus 213 and four moduli of the type 2n - 1, which all fit into the 32-bit word of the processor. The RNS operations are implemented in hardware, except for the reverse conversion which is implemented in software. Simulation experiments performed on synthesized five-operation arithmetic unit show that at a small hardware and software cost can be achieved 10% energy saving for a constant-coefficient filter application and up to 25% for the matrix multiplication, compared to executions using a positional arithmetic unit.
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一种低功耗rns增强型算术单元的设计
本文提出了一种利用剩余数系统(RNS)设计算术协处理单元的新方法,使加法和乘法并行执行。所选择的RNS是由一个较大的偶模213和4个2n - 1型模组成的5模集合,它们都适合处理器的32位字。除了反向转换是在软件中实现外,RNS操作是在硬件中实现的。在合成五运算运算单元上进行的仿真实验表明,与使用位置运算单元相比,在较小的硬件和软件成本下,对于常系数滤波器应用可以节省10%的能源,对于矩阵乘法可以节省高达25%的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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