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Optimizing scientific file {I/O} patterns using advice based knowledge
Giuseppe Congiu, Matthias Grawinkel, Federico Padua, James Morse, Tim Süß, André Brinkmann
in Proceedings of the International Conference on Cluster Computing (CLUSTER), Madrid, Spain,IEEE (2014);

Accelerated GPU simulation of compressible flow by the discontinuous evolution Galerkin method
B. J. Block, M. Lukáčová-Medvid’ová, P. Virnau, L. Yelash
The European Physical Journal Special Topics210 (1),119-132 (2012);

The aim of the present paper is to report on our recent results for GPU accelerated simulations of compressible flows. For numerical simulation the adaptive discontinuous Galerkin method with the multidimensional bicharacteristic based evolution Galerkin operator has been used. For time discretization we have applied the explicit third order Runge-Kutta method. Evaluation of the genuinely multidimensional evolution operator has been accelerated using the GPU implementation. We have obtained a speedup up to 30 (in comparison to a single CPU core) for the calculation of the evolution Galerkin operator on a typical discretization mesh consisting of 16384 mesh cells.

Bottom-up derivation of conservative and dissipative interactions for coarse-grained molecular liquids with the conditional reversible work method
Gregor Deichmann, Valentina Marcon, Nico F. A. van der Vegt
The Journal of Chemical Physics141 (22),224109 (2014);

Using field theory to construct hybrid particle–continuum simulation schemes with adaptive resolution for soft matter systems
Shuanhu Qi, Hans Behringer, Friederike Schmid
New Journal of Physics15 (12),125009 (2013);


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