Verdonck Stijn, Meers Kristof, Tuerlinckx Francis
Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.
Behav Res Methods. 2016 Mar;48(1):13-27. doi: 10.3758/s13428-015-0569-0.
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.
在本文中，我们展示了一款软件，它可利用中央处理器（CPU）或图形处理单元（GPU）技术，对一大类用于选择反应时的线性和非线性扩散模型进行高效模拟。该软件可通过流行的脚本语言MATLAB和R（均为64位）轻松获取。在单个高端GPU上获得的速度与小型CPU集群相当，从而将复杂扩散模型的标准统计推断引入桌面平台。
