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引用次数: 0

摘要

高性能计算(HPC)系统消耗大量的能源。总体能源消耗是迈向百亿亿次计算机的最大挑战之一。因此,节能技术必须应用于从基本芯片技术到数据中心基础设施的各个层面。READEX项目探索动态切换应用程序和系统参数的潜力,例如内核的时钟频率,以减少应用程序的总体能耗。在应用程序设计期间执行分析,以预先计算调优模型,然后将该模型输入到运行时调优库。该库在运行时切换应用程序和系统配置,以适应不同的应用程序特征。
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The READEX Project for Dynamic Energy Efficiency Tuning
High Performance Computing (HPC) systems consume a lot of energy. The overall energy consumption is one of the biggest challenges on the way towards exascale computers. Therefore, energy reduction techniques have to be applied on all levels from the basic chip technology up to the data center infrastructure. The READEX project explores the potential of dynamically switching application and system parameters, such as the clock frequency of the cores, to reduce the overall energy consumption of applications. An analysis is performed during application design time to precompute a tuning model that is then input to the runtime tuning library. This library switches the application and system configuration at runtime to adapt to varying application characteristics.
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Session details: Afternoon Session 2 Adaptive GPU Array Layout Auto-Tuning A Performance Optimization Framework for the Simultaneous Heterogeneous Computing Platforms Session details: Keynote Address Session details: Afternoon Session 1
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