行为合成过程中峰值温度和平均功率同时最小化

V. Krishnan, S. Katkoori
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引用次数: 6

摘要

随着CMOS规模的不断扩大和工作频率的不断提高,功率和热问题已成为当前和未来高性能集成电路设计的关键问题。芯片温度升高会对电路性能和可靠性产生不利影响。芯片上的热梯度会导致不可预测的时钟偏差变化和定时故障。芯片温度在行为和物理合成水平上受到设计决策的影响。现有的低功耗设计技术不能充分解决热问题,因为它们的优化目标不能捕捉片上热梯度的空间性质。我们提出了一种同时最小化平均功率和芯片峰值温度的热感知低功耗行为合成算法。我们的算法使用精确的基于平面图的温度估计来指导行为合成。与传统的低功耗合成相比,我们的方法将峰值温度降低了23%,芯片面积的开销不到10%。
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Simultaneous Peak Temperature and Average Power Minimization during Behavioral Synthesis
With continuous CMOS scaling and increasing operating frequencies, power and thermal concerns have become critical design issues in current and future high-performance integrated circuits. Elevated chip temperatures adversely impact circuit performance and reliability. On-chip thermal gradients can lead to unpredictable clock skew variations and timing failures. Chip temperatures are influenced by design decisions at the behavioral and physical-synthesis levels. Existing low-power design techniques cannot adequately address thermal issues since their optimization objectives fail to capture the spatial nature of on-chip thermal gradients. We present an algorithm for thermally-aware low-power behavioral synthesis that concurrently minimizes average power and peak chip temperature. Our algorithm uses accurate floorplan-based temperature estimates to guide behavioral synthesis. Compared to traditional low-power synthesis, our method reduces peak temperatures by as much as 23%, with less than 10% overhead in chip area.
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