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TABS: Temperature-Aware Layout-Driven Behavioral Synthesis

机译:TABS:温度感知布局驱动的行为综合

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With rising power densities in modern VLSI circuits, thermal effects are becoming important in the design of ICs. Elevated chip temperatures have an adverse impact on performance, reliability, power consumption, and cooling costs. To ensure adequate thermal management, all phases of the design flow must account for thermal effects on their design decisions. We present a two-stage simulated annealing-based high-level synthesis technique that combines power minimization with temperature-aware scheduling, binding, and floorplanning. In our technique, the first stage of the simulated annealing algorithm creates a low-power solution, which is then iteratively improved by the second stage to minimize estimated on-chip peak temperature using accurate module-level temperature estimation. We show that minimizing average power alone does not guarantee minimal peak temperatures. However, our approach consistently finds solutions that have lower on-chip peak temperatures and uniform on-chip temperature distributions, compared to a traditional low-power synthesis methodology that minimizes average power. Experiments show that our method reduces peak temperatures on average by 12% and up to 16%, compared to a traditional low-power synthesis algorithm that minimizes average power. These improvements in chip-level temperature distributions are achieved with a modest increase in chip area of under 15% on average.
机译:随着现代VLSI电路中功率密度的提高,热效应在IC设计中变得越来越重要。升高的芯片温度会对性能,可靠性,功耗和冷却成本产生不利影响。为了确保适当的散热管理,设计流程的所有阶段都必须考虑散热对其设计决策的影响。我们提出了一种基于模拟退火的两阶段高级综合技术,该技术将功耗最小化与温度感知的调度,绑定和布局规划结合在一起。在我们的技术中,模拟退火算法的第一阶段创建了一个低功耗解决方案,第二阶段对其进行了迭代改进,以使用精确的模块级温度估算将估算的芯片峰值温度降至最低。我们表明,仅使平均功率最小化并不能保证最小的峰值温度。但是,与传统的将平均功率降至最低的低功耗合成方法相比,我们的方法始终能找到具有更低片内峰值温度和均匀片内温度分布的解决方案。实验表明,与传统的平均功耗最小的低功耗合成算法相比,我们的方法平均将峰值温度降低了12%,最高降低了16%。芯片级温度分布的这些改善是通过平均将芯片面积增加不到15%来实现的。

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