双电源电压fpga的延迟优化低功耗电路聚类

Deming Chen, J. Cong
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引用次数: 24

摘要

提出了一种以低功耗为目标的延迟优化FPGA聚类算法。我们假设FPGA的可配置逻辑块可以使用高电源电压(high- vdd)或低电源电压(low- vdd)进行编程。我们在保证一般延迟模型下电路的延迟是最优的情况下进行聚类过程,同时在非关键路径上的逻辑块可以通过低vdd驱动来节省功耗。我们探索了一组双vdd组合,以找到低vdd和高vdd之间的最佳比例,以实现最大的功耗降低。实验结果表明,与具有单个高vdd的FPGA的聚类结果相比,我们的聚类算法平均可节省20.3%的功耗。据我们所知,这是针对FPGA架构的双vdd集群的第一项工作。
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Delay optimal low-power circuit clustering for FPGAs with dual supply voltages
This paper presents a delay optimal FPGA clustering algorithm targeting low power. We assume that the configurable logic blocks of the FPGA can be programmed using either a high supply voltage (high-Vdd) or a low supply voltage (low-Vdd). We carry out the clustering procedure with the guarantee that the delay of the circuit under the general delay model is optimal, and in the meantime, logic blocks on the non-critical paths can be driven by low-Vdd to save power. We explore a set of dual-Vdd combinations to find the best ratio between low-Vdd and high-Vdd to achieve the largest power reduction. Experimental results show that our clustering algorithm can achieve power savings by 20.3% on average compared to the clustering result for an FPGA with a single high-Vdd. To our knowledge, this is the first work on dual-Vdd clustering for FPGA architectures.
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