Titlebook: High Performance Computing. ISC High Performance 2022 International Workshops; Hamburg, Germany, Ma Hartwig Anzt,Amanda Bienz,Marc Baboulin

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Detecting Interference Between Applications and Improving the Scheduling Using Malleable Applicationon monitoring. This paper presents a novel feature for improving the scheduling process based on the performance prediction and the detection of interference between real applications. This feature consists of using malleable synthetic benchmark clones (proxies) for the applications executed in the

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MURKY

IMSS: In-Memory Storage System for Data Intensive Applicationssters tend to experience bottlenecks in the I/O layer, limiting the scalability of data-intensive based applications. Thus, minimizing the number of cycles required by I/O operations constitutes a widely addressed challenge. In order to cope with that constraint, distributed in-memory store solution

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On the Convergence of Malleability and the HPC PowerStack: Exploiting Dynamism in Over-Provisioned aly under-utilized system resources. Given the power consumption trends, future systems will be deployed in an over-provisioned manner where more resources are installed than they can afford to power simultaneously. In such a scenario, maximizing resource utilization and energy efficiency, while keep

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