Geodesic
Implementation properties of many-body potentials on heteroheneous computing systems
Matematičeskoe modelirovanie, Tome 25 (2013) no. 10, pp. 123-136

Voir la notice de l'article provenant de la source Math-Net.Ru

One way to improve the performance of atomistic modeling algorithms is to transform them for running on heterogeneous computing systems that combine the CPU and GPU. Adequate calculation of the mechanical and transport properties of nanostructures using many-body interatomic potentials require significantly more processing power. The article describes the features of the implementation of GPU algorithm for calculating many-body Tersoff and embedded atom potential by means of the OpenCL technology. The performance of different algorithms for GPU computing is compared.
Keywords: general purpose computation, graphics processing units, OpenCL, many-body interatomic potentials, Tersoff potential, embedded-atom potential. 
@article{MM_2013_25_10_a9,
     author = {A. A. Knizhnik and A. S. Minkin and B. V. Potapkin},
     title = {Implementation properties of many-body potentials on heteroheneous computing systems},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {123--136},
     publisher = {mathdoc},
     volume = {25},
     number = {10},
     year = {2013},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2013_25_10_a9/}
}
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A. A. Knizhnik; A. S. Minkin; B. V. Potapkin. Implementation properties of many-body potentials on heteroheneous computing systems. Matematičeskoe modelirovanie, Tome 25 (2013) no. 10, pp. 123-136. http://geodesic.mathdoc.fr/item/MM_2013_25_10_a9/