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Exascale computing is the next major milestone for the HPC community. Due to a steadily increasing probability of failures, current applications must be made malleable to be able to cope with dynamic resource changes. In this paper, we show first results with LAIK, a lightweight library for dynamically re-distributable application data. This allows to free compute nodes from workload before a predicted failure. For a real-world application, we show that LAIK adds negligible overhead. In addition, we show the effect of different re-distribution strategies.
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