In this paper, we investigate Dynamic Thermal Management (DTM) policies under soft thermal constraint that allows the thermal constraint to be violated for a user specified period. For single core processor, we develop analytical expression for the optimal frequency policy under the soft constraint such that maximal performance can be extracted. We extend this problem to multi-core processor and provide optimal frequency policy when all cores run at same frequency. We also present LP based approximated formulation that generates frequency policies where each core has separate frequency control and considers leakage power. We use frequency legalization to approximate the frequency into discrete values. Experimental results indicate that 10°C increase in core temperature for 100sec results in 13% performance gain for single core processor, and 30% performance gain for two-core processor. Without Tmax constraint, the performance improves almost 100% for two-core processor.
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机译：在本文中，我们研究了软热约束下的动态热管理（DTM）策略，该策略允许在用户指定的时间内违反热约束。对于单核处理器，我们在软约束下开发了针对最佳频率策略的解析表达式，以便可以提取最大性能。我们将此问题扩展到多核处理器，并在所有内核以相同频率运行时提供最佳频率策略。我们还提出了基于LP的近似公式，该公式生成了频率策略，其中每个磁芯具有单独的频率控制并考虑了泄漏功率。我们使用频率合法化将频率近似为离散值。实验结果表明，内核温度每升高10°C持续100秒，则单核处理器的性能提高13％，而两核处理器的性能提高30％。没有T max 约束，两核处理器的性能几乎提高了100％。
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