Modeling of glitch effects in FPGA based arithmetic circuits

A. A. Gaffar, Jonathan A. Clarke, G. Constantinides
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引用次数: 13

Abstract

One of the requirements when using high-level power optimization techniques is the ability to estimate circuit power consumption quickly. Bit-level estimation techniques which take into account the glitch activity in a circuit take too long to provide power estimates. In this paper we present a novel method which can provide fast estimates for the logic and intra-routing power consumption in digital circuits whilst taking into account the glitch activity but relying purely on the word-level statistics of the signals. The proposed method models the propagation of glitch activity in signals through the arithmetic components in circuits, and using this information estimates the logic and intra-routing power consumption. For arithmetic circuits implemented on FPGAs we demonstrate that previous macro-model based power estimation techniques consistently under-estimate the power consumption by up to 20 times, whilst this work can provide estimates to within a mean relative error of 30% compared to low-level power estimation
基于FPGA的算术电路中的故障效应建模
当使用高级功率优化技术时,要求之一是能够快速估计电路功耗。考虑电路中故障活动的比特级估计技术需要很长时间才能提供功率估计。在本文中,我们提出了一种新的方法,可以提供快速估计的逻辑和路由内功耗在数字电路中,同时考虑到故障活动,但纯粹依赖于字级统计信号。该方法通过电路中的算术元件对信号中故障活动的传播进行建模,并利用这些信息估计逻辑和路由内功耗。对于在fpga上实现的算术电路,我们证明了以前基于宏观模型的功率估计技术始终低估功耗高达20倍,而与低水平功率估计相比,这项工作可以提供在30%的平均相对误差内的估计
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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