TSV-aware IDF-based power prediction for FPGA

A. Atghiaee, N. Masoumi, Shohreh Rabiee
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引用次数: 2

Abstract

In this paper, we present a new power prediction method with application in regular structures such as FPGAs. We will mainly discuss the effects of through-silicon-via (TSV) and interconnects in order to offer a robust IDF-based solution for power prediction problem. In our survey, we will show that TSV increases the average wire-length by up to 16 percent that in turn leads to 16 percent elevation in power consumption as well. The 3D TSV effect in wire-length is mapped into a 2D wire-length distribution. The wire-length distribution benefits an accurate continuous stochastic function. There is no need for layout extracted data as to power prediction. The error of prediction is systematic and will also decrease as the circuit size increases.
基于tsv感知idf的FPGA功率预测
本文提出了一种适用于fpga等规则结构的新型功率预测方法。我们将主要讨论通硅通孔(TSV)和互连的影响,以便为功率预测问题提供一个强大的基于idf的解决方案。在我们的调查中,我们将显示TSV将平均线长增加多达16%,这反过来又导致16%的功耗提升。将线长中的三维TSV效应映射为二维线长分布。导线长度分布有利于精确的连续随机函数。对于功率预测,不需要版图提取数据。预测误差是系统性的,并且随着电路尺寸的增大而减小。
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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