FPGA架构的低功耗高级合成

Deming Chen, J. Cong, Yiping Fan
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引用次数: 114

摘要

本文从两个方面论述了FPGA电路的低功耗设计。首先,我们提出了一种考虑导线长度的fpga rt级功率估计器。功率估计器在0.1 /spl mu/m的技术下,紧密地反映了各种FPGA组件所贡献的动态和静态功率。功率估计误差平均为16.2%。其次,我们提出了一种用于FPGA设计的低功耗高电平合成系统,称为LOPASS。它包括两种降低功耗的算法:(i)模拟退火引擎,实现资源选择功能单元绑定、调度、寄存器绑定和数据部分。同时发电,有效降低功率;(ii)一种增强的加权二部匹配算法,能够将MUX端口总数减少22.7%。实验结果表明,与synopsys行为编译器的结果相比,LOPASS可以降低35.8%的功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low-power high-level synthesis for FPGA architectures
This paper addresses two aspects of low-power design for FPGA circuits. First, we present an RT-level power estimator for FPGAs with consideration of wire length. The power estimator closely reflects both dynamic and static power contributed by various FPGA components in 0.1 /spl mu/m technology. The power estimation error is 16.2% on average. Second, we present a low power high level synthesis system, named LOPASS, for FPGA designs. It includes two algorithms for power consumption reduction: (i) a simulated annealing engine that carries out resource selection function unit binding, scheduling, register binding, and data pat. generation simultaneously to effectively reduce power; (ii) an enhanced weighted bipartite matching algorithm that is able to reduce the total amount of MUX ports by 22.7%. Experimental results show that LOPASS is able to reduce-power consumption by 35.8% compared to the results-of -Synopsys' Behavioral Compiler.
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