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Manuscript Title: gpuSPHASE - A shared memory caching implementation for 2D SPH using CUDA
Authors: Daniel Winkler, Michael Meister, Wolfgang Rauch
Program title: gpuSPHASE
Catalogue identifier: AFBO_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 213(2017)165
Programming language: C++, CUDA.
Computer: Nvidia CUDA capable devices.
Operating system: Linux, Windows, Mac OS.
RAM: Bytes
Keywords: Computational fluid dynamics, SPH, GPU, CUDA.
PACS: 47.11.-j.
Classification: 5, 12.

External routines: Qt5 Core, HDF5, H5Part

Nature of problem:
Free surface fluid dynamics simulations of long running phys- ical phenomena that must be calculated in the order of real-time.

Solution method:
gpuSPHASE is a 2D SPH solver for CUDA capable devices that is optimized for the computation of real-time simulations.

Running time:
Depending on the simulated problem the running time varies from seconds to weeks.