GPU accelerated numerical simulations of viscoelastic phase separation model
We introduce a complete implementation of viscoelastic model for numerical simulations of the phase separation kinetics in dynamic asymmetry systems such as polymer blends and polymer solutions on a graphics processing unit (GPU) by CUDA language and discuss algorithms and optimizations in details. From studies of a polymer solution, we show that the GPU-based implementation can predict correctly the accepted results and provide about 190 times speedup over a single central processing unit (CPU). Further accuracy analysis demonstrates that both the single and the double precision calculations on the GPU are sufficient to produce high-quality results in numerical simulations of viscoelastic model. Therefore, the GPU-based viscoelastic model is very promising for studying many phase separation processes of experimental and theoretical interests that often take place on the large length and time scales and are not easily addressed by a conventional implementation running on a single CPU.
Keda Yang, Jiaye Su and Hongxia Guo. GPU accelerated numerical simulations of viscoelastic phase separation model. Journal of Computational Chemistry. Volume 33, Issue 18, pages 1564–1571, 2012. [doi: 10.1002/jcc.22990]
Category: Articles, Physical Science
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