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Titlebook: Euro-Par 2024: Parallel Processing; 30th European Confer Jesus Carretero,Sameer Shende,Martin Schreiber Conference proceedings 2024 The Edi

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Light-Weight Prediction for Improving Energy Consumption in HPC Platformsjor issue for the High-performance computing (HPC) community. Including reliable energy management to a supercomputer’s resource and job management system (RJMS) is not an easy task. The energy consumption of jobs is rarely known in advance and the workload of every machine is unique and different f
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PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Prl image processing tasks to hybrid clouds has benefits, such as a significant reduction of execution time and monetary cost. However, due to privacy concerns, it is still challenging to process sensitive medical images over clouds, which would hinder their deployment in many real-world applications.
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https://doi.org/10.1007/978-3-031-69577-3parallel and distributed computing; programming; compilers; performance; scheduling; resource management;
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