Titlebook: High Performance Computing in Science and Engineering, Garching/Munich 2009; Transactions of the Siegfried Wagner,Matthias Steinmetz,Marku

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Performance Limitations for Sparse Matrix-Vector Multiplications on Current Multi-Core Environmentsm this new hardware concept. In order to optimize the existent algorithms, a detailed knowledge of the different performance-limiting factors is mandatory. In this contribution we investigate sparse matrix-vector multiplications, which are the dominant operation in many sparse eigenvalue solvers. Tw

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waLBerla: Optimization for Itanium-based Systems with Thousands of Processorszmann. This method is used to simulate liquid-gas flow phenomena such as bubbly flows and foams. Due to a special treatment of the gas phase, an aggregation of bubble volume data is necessary in every time step. In order to accomplish efficient parallel scaling, the all-to-all communication schemes

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OMI4papps: Optimisation, Modelling and?Implementation for Highly Parallel ApplicationsP, a tunable synthetic benchmark designed to simulate the performance of typical scientific applications. Apex-MAP mimics common memory access patterns and different computational intensity of scientific codes. An approach for modelling LRZ’s application mix is given which makes use of performance c

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Numerical Simulation of Supersonic Jet Noise with Overset Grid Techniques for Highly Parallelized Coircraft, are not perfectly expanded. Thereby, shocks are appearing in the jet core and interacting with the turbulent mixing-layers and emanating shock induced noise. Under certain conditions this upstream traveling noise can be amplified due to a closed feedback loop. These so called . can reach so

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