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  Fractal curve accelerated study of granular surface tension

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

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-2D81-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-2D82-4
Genre: Thesis

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2015_bachelor_thesis_niklas_boelter.pdf (Publisher version), 5MB
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 Creators:
Bölter, Niklas1, Author           
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1Group Non-equilibrium soft matter, Department of Dynamics of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063308              

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 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.

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Language(s): eng - English
 Dates: 2015-09-15
 Publication Status: Accepted / In Press
 Pages: III, 54
 Publishing info: Göttingen : Georg-August-Universität
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 Rev. Type: -
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 Degree: Bachelor

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