Synthesis of approximate circuits for LUT-based FPGAs

Z. Vašíček
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引用次数: 1

Abstract

Approximate computing is an emerging paradigm that trades the accuracy of computation to achieve gain in terms of design area, critical path delay and/or power consumption. There is a rich body of literature showing that the approximate hardware components serving as basic building blocks for energy-efficient implementation of complex systems offer a remarkable gain in efficiency and/or performance in exchange for small losses in output quality. However, recent studies revealed that the approximate components optimized mainly for ASICs offer asymmetric gain when used in FPGAs. In this work, we present an iterative design method for automated synthesis of elementary approximate components natively optimized for usage in LUT-based FPGAs. The method takes into account the number of LUTs and LUT-level propagation delay instead of the number of gates and logic levels typically considered in other works. Using this method, we synthesized various approximate adders (up to 64-bit) and multipliers (8-bit and 16-bit). Compared to the current state-of-the-art, our designs achieve better trade-off when considered the worst case absolute error, number of LUTs and propagation delay. The discovered approximate adders and multipliers are available online in the form of Verilog netlists consisting of 4, 5 and 6-input LUTs.
基于lut的fpga近似电路的合成
近似计算是一种新兴的计算范式,它以计算的准确性为代价,在设计面积、关键路径延迟和/或功耗方面获得增益。有大量的文献表明,作为复杂系统节能实现的基本构建块的近似硬件组件提供了显著的效率和/或性能增益,以换取输出质量的小损失。然而,最近的研究表明,主要针对asic优化的近似元件在fpga中使用时提供不对称增益。在这项工作中,我们提出了一种迭代设计方法,用于自动合成原生优化的基本近似元件,用于基于lut的fpga。该方法考虑了lut的数量和lut级别的传播延迟,而不是其他工作中通常考虑的门和逻辑级别的数量。使用这种方法,我们合成了各种近似加法器(最多64位)和乘法器(8位和16位)。与目前最先进的技术相比,我们的设计在考虑最坏情况下的绝对误差、lut数量和传播延迟时实现了更好的权衡。发现的近似加法器和乘法器以Verilog网络列表的形式在线提供,该网络列表由4、5和6输入lut组成。
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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