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Titlebook: High-Performance Scientific Computing; First JARA-HPC Sympo Edoardo Di Napoli,Marc-André Hermanns,Alexander Pe Conference proceedings 2017

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Edoardo Di Napoli,Marc-André Hermanns,Alexander PeIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/426679.jpg
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Dynamic Load Balancing for Large-Scale Multiphysics Simulationsroven to work well for symmetric workloads. But, in today’s multiphysics simulations, with asymmetric workloads, this imbalance prevents good scalability on future generation of parallel architectures. We present our work on developing a general dynamic load balancing framework for multiphysics simu
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Farfield Noise Prediction Using Large-Scale Lattice-Boltzmann SimulationsowerFLOW are used in conjunction with the acoustic analogy solver PowerACOUSTICS. Since the flow needs to be spatially and temporally well resolved, the simulations are usually carried on a large number of computational cores for adequate turnaround times. This paper provides the background on the t
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The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systemstwo separate steps, which involves data exchange via disk I/O between the solvers. This limits the efficiency of the approach, as parallel I/O usually does not scale well to large numbers of cores. In this work, a highly scalable direct-hybrid scheme is presented, in which both the flow and the acou
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