کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
519279 867652 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Data assimilation using a GPU accelerated path integral Monte Carlo approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Data assimilation using a GPU accelerated path integral Monte Carlo approach
چکیده انگلیسی

The answers to data assimilation questions can be expressed as path integrals over all possible state and parameter histories. We show how these path integrals can be evaluated numerically using a Markov Chain Monte Carlo method designed to run in parallel on a graphics processing unit (GPU). We demonstrate the application of the method to an example with a transmembrane voltage time series of a simulated neuron as an input, and using a Hodgkin–Huxley neuron model. By taking advantage of GPU computing, we gain a parallel speedup factor of up to about 300, compared to an equivalent serial computation on a CPU, with performance increasing as the length of the observation time used for data assimilation increases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Physics - Volume 230, Issue 22, 10 September 2011, Pages 8168–8178
نویسندگان
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