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Fractal curve accelerated study of granular surface tension

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Bölter,  Niklas
Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Bölter, N. (2015). Fractal curve accelerated study of granular surface tension. Bachelor Thesis, Georg-August-Universität, Göttingen.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-2D81-6
Abstract
In this thesis we look at a performance bottleneck of running molecular dynamics
code on GPGPU devices (specifically the CUDA platform), namely random memory
access into global graphics card memory. We offer a solution that involves reordering
memory blocks in order to enable more memory reads from the local cache (shared
memory) instead of the global memory. For determining a memory block order that
sufficiently increases performance a space-filling curve was used.
Significant performance increases for higher filling fractions were observed with a
molecular dynamics simulation that was written from scratch.