Efficient simulation of diffusion-based choice RT models on CPU and GPU
Stijn Verdonck1, Kristof Meers2, Francis Tuerlinckx2
1Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium. stijn.verdonck@ppw.kuleuven.be.
Abstract:
In this paper, we present software for the efficient simulation of a broad class of linear and nonlinear diffusion models for choice RT, using either CPU or graphical processing unit (GPU) technology. The software is readily accessible from the popular scripting languages MATLAB and R (both 64-bit). The speed obtained on a single high-end GPU is comparable to that of a small CPU cluster, bringing standard statistical inference of complex diffusion models to the desktop platform.
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