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Temperature-aware computing: Achievements and remaining challenges

机译:温度感知计算:成就和剩余挑战

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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:下一代处理器中的总功耗被投影以达到200个w / cm 2 。这种高功率密度与器件复杂集成,导致芯片上的高散热。因此,热管理和温度感知的计算技术对于设计节能系统至关重要。在本教程中,我们呈现温度建模,地面板,设计时和运行时热管理技术来缓解热热点。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。设计时技术专注于热意识的楼层规划和热传感器放置。运行时技术有两个主要目标:以降低温度并通过降低功耗来保持均匀的热曲线。我们引入了运行时机制,如自适应热管理策略;调制用于热平衡的冷却机制,以及新兴技术的热设计考虑因素。本教程将包括四个部分,涵盖热管理设计范式的不同方面,如下所示。

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