Peak temperature control and leakage reduction during binding in high level synthesis

R. Mukherjee, S. Memik, G. Memik
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引用次数: 21

Abstract

Temperature is becoming a first rate design criterion in ASICs due to its negative impact on leakage power, reliability, performance, and packaging cost. Incorporating awareness of such lower level physical phenomenon in high level synthesis algorithms help to achieve better designs. In this work, we developed a temperature aware binding algorithm. Switching power of a module correlates with its operating temperature. The goal of our binding algorithm is to distribute the activity evenly across functional units. This approach avoids steep temperature differences between modules on a chip, hence, the occurrence of hot spots. Starting with a switching optimal binding solution, our algorithm iteratively minimizes the maximum temperature reached by the hottest functional unit. Our algorithm does not change the number of resources used in the original binding. We have used HotSpot, a temperature modeling tool, to simulate temperature of a number ASIC designs. Our binding algorithm reduces temperature reached by the hottest resource by 12.21/spl deg/C on average. Reducing the peak temperature has a positive impact on leakage as well. Our binding technique improves leakage power by 11.89%, and overall power by 3.32% on average at 130nm technology node compared to a switching optimal binding.
高水平合成中结合过程中的峰值温度控制和泄漏减少
由于温度对泄漏功率、可靠性、性能和封装成本的负面影响,它正在成为asic的一流设计标准。在高级合成算法中加入这种低级物理现象的意识有助于实现更好的设计。在这项工作中,我们开发了一种温度感知绑定算法。模块的开关功率与其工作温度有关。我们绑定算法的目标是在各个功能单元之间均匀地分配活动。这种方法避免了芯片上模块之间的巨大温差,从而避免了热点的出现。我们的算法从切换最优绑定解开始,迭代最小化最热功能单元所达到的最高温度。我们的算法不会改变原始绑定中使用的资源数量。我们使用温度建模工具HotSpot对多个ASIC设计的温度进行了模拟。我们的绑定算法平均降低了最热资源达到的温度12.21/spl℃。降低峰值温度对泄漏也有积极的影响。我们的结合技术在130nm技术节点上的泄漏功率比切换最佳结合技术提高了11.89%,总功率平均提高了3.32%。
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