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Local Condition Monitoring in integrated circuits using a set of Kolmogorov-Smirnov tests

机译:使用一组Kolmogorov-Smirnov测试对集成电路进行本地状态监测

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Today mobile computing platforms need everincreasing computational performances while their energy consumption is drastically limited by battery lifespan. An optimal operating point is obtained thanks to a compromise between performance and power consumption. For distributed architectures (e.g. MultiProcessor System On Chip), the supply voltage and the operating frequency of each processing element are usually tuned dynamically to reach efficient performance/power consumption trade-offs. As a consequence, the physical state (e.g. its current supply voltage and temperature) of the integrated circuit must be monitored to locally adapt the chip parameters. In the present paper, a new method based on statistical tests is proposed to estimate the supply voltage and temperature of a local area in an integrated circuit. The raw measurements are acquired form standard ring oscillators buried in the chip. Simulation results show the effectiveness of the method with mean absolute errors of 6mV and 9°C for the estimated supply voltage and temperature respectively.
机译:如今,移动计算平台需要不断提高的计算性能,而其能耗却受到电池寿命的极大限制。由于性能和功耗之间的折衷,因此可以获得最佳的工作点。对于分布式架构(例如,多处理器片上系统),通常动态地调整每个处理元件的电源电压和工作频率,以达到有效的性能/功耗权衡。结果,必须监视集成电路的物理状态(例如其电流供应电压和温度)以局部地适应芯片参数。在本文中,提出了一种基于统计测试的新方法来估计集成电路局部区域的电源电压和温度。原始测量值通过掩埋在芯片中的标准环形振荡器获得。仿真结果表明,该方法对于估计的电源电压和温度分别具有6mV和9°C的平均绝对误差,是有效的。

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