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Energy consumption has become a major topic in high performance computing in the last years. We present an approach to efficiently manage the power states of an power-aware cluster, including the processor, the network cards and the disks. To profit from the lower power consumption of these states we followed the approach to transfer application knowledge (e.g. future hardware use) to a daemon which...
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