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Titlebook: Euro-Par 2018: Parallel Processing; 24th International C Marco Aldinucci,Luca Padovani,Massimo Torquati Conference proceedings 2018 Springe

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https://doi.org/10.1007/978-3-658-09516-1race-driven simulation and distributed experiment in Spark under various loads and cluster sizes. Our large-scale performance results indicate that Peacock outperforms the state-of-the-art in all cluster sizes and loads. Our distributed experiments confirm our simulation results.
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Automatic Detection of Synchronization Errors in Codes that Target the Open Community Runtimeuntime, one major problem is ensuring that the program manages runtime objects correctly. For example, when one task uses an object and another task is responsible for deleting the object, the tasks need to be synchronized to ensure that the object is only destroyed once it is no longer being used.
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A Methodology for Performance Analysis of Applications Using Multi-layer I/Osubsystems lags behind the compute capabilities of current processors. To improve the utilization of I/O subsystems, several libraries, such as HDF5, facilitate the implementation of parallel I/O operations. These libraries abstract from low-level I/O interfaces (for instance, Posix I/O) and may int
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Estimating the Impact of External Interference on Application Performanceconcurrently running jobs. Because of the irregularity of this interference from the perspective of the affected job, performance analysts do not consider it an intrinsic part of application execution, which is why they wish to factor it out when measuring execution time. However, if chances are hig
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