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These characteristics suggest to use a cluster of GPU-enhanced computers in order to scale the runtime reduction and overcome the memory limitations of a GPU-enhanced node by suitably distributing the data among the nodes, enabling us to simulate significantly larger realistic models.
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Efficient use of vectorization enables us to simulate diffusion in disordered porous media, represented by two- or three-dimensional lattices, with up to 109 sites, and a speed of nearly four steps per microsecond and per Cray-YMP processor.
The relationship between discharge and corresponding average water depth in the pools, under both uniform and non-uniform flow conditions, using the discharge coefficient enabled us to simulate the distribution of water levels in a vertical slot fishway.
In the second case, an intelligent solution can efficiently help on devoted way of simulation, which enables us to simulate the object only in a situation that is necessary for a development process.
Finally, our new additions to the simulation pipeline enable us to simulate many of the identified errors, and we see that the resulting assemblies are approaching those obtained from real data.
The use of such a model enables us to simulate the entire pullout process.
We have developed an electrostatic macro-scale implicit particle simulation code which enables us to simulate low-frequency plasma wave phenomena with large spatial scale length.
This enables us to simulate continuously varying media which was impossible with previous MC simulations.
As previously mentioned this enables us to simulate not only plane, but also any spherical curved VHG.
Application of these models in CFD enables us to simulate the injection process for complex geometries and varying fiber orientations.
These models contained real values taken from the providers' websites and enabled us to simulate the migration of multiple databases between the two platforms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com