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Large scale time-dependent particle simulations can generate massive amounts of data, making it so that storing the results is often the slowest phase and the primary time bottleneck of the simulation.
In particular, the FEM solver was not optimized for calculation on the GPU, and it became the bottleneck of the simulation.
This ranks normally between 1 and 2 fs for atomistic simulations, and is the major bottleneck of the simulation procedure.
In this case, the main bottleneck of the simulation software is data movement and management since the computation/data-movement ratio may easily reach the limits of modern multicore platforms.
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Numerical simulations of the LLG equation are complicated by the need to compute the stray field due to the inhomogeneities in the magnetization which presents the chief bottleneck for the simulation speed.
Mesh generation in engineering applications is often the bottleneck of the complete simulation process.
Approximating the Coulomb self-energy of a charge distribution within a three-dimensional domain and the mutual Coulomb energy of two charge distributions often constitutes a computational bottleneck in the simulation of physical systems.
Flash calculations have become a performance bottleneck in the simulation of compositional flow in subsurface reservoirs.
Although random numbers are often a very small part of these algorithms inability to generate them fast enough, them can cause a bottleneck in the reconfigurable computing implementation of the simulation.
However, the data transfer between GPUs bottlenecks the efficiency of the simulations on such systems.
These rare events are the bottleneck of numerical simulations.
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