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Temperature-aware computing: Achievements and remaining challenges

机译:温度感知计算:成就和尚存的挑战

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Total power dissipation in the next-generation processors is projected to reach 200 W/cm2. Such high power densities coupled with complex integration of devices, results in high heat dissipation on-chip. Therefore, thermal management and temperature-aware computing techniques are critical in designing energy-efficient systems. In this tutorial, we present temperature modeling, floorplanning, design-time and run-time thermal management techniques to alleviate thermal hotspots. Accurate thermal modeling and prediction mechanisms are critical to invoke the right thermal management decisions. Design-time techniques focus on thermal-aware floor planning and thermal sensor placement. Run-time techniques have two primary goals: to reduce temperature and to maintain a uniform thermal profile by reducing power consumption. We introduce run-time mechanisms such as adaptive thermal management policies; modulating cooling mechanisms for heat balancing, and thermal design considerations for emerging technologies. This tutorial will consist of four parts that cover different aspects of the thermal management design paradigms, as presented below.
机译:下一代处理器的总功耗预计将达到200 W / cm 2 。如此高的功率密度加上复杂的器件集成,会导致片上高散热。因此,热管理和温度感知计算技术对于设计节能系统至关重要。在本教程中,我们介绍了温度建模,布局规划,设计时和运行时的热管理技术,以缓解热点。准确的热建模和预测机制对于调用正确的热管理决策至关重要。设计时技术侧重于热感知平面规划和热传感器放置。运行时技术有两个主要目标:降低温度并通过减少功耗来维持均匀的热量分布。我们介绍了运行时机制,例如自适应热管理策略;调节冷却机制以实现热量平衡,以及新兴技术的热设计考虑。本教程将由四个部分组成,涵盖热管理设计范例的不同方面,如下所示。

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