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.status: publishe
Abstract: The graphics processing unit (GPU) has emerged as a power-ful and cost effective processor...
This paper presents PDEs that describes sedimentation by a system of diffusion and transportation eq...
The spread of infectious diseases arises from complex interactions between disease dynamics and huma...
Verdonck, S., Meers, K., & Tuerlinckx, F. (in press). Efficient simulation of diffusion-based c...
This master's thesis deals with acceleration of heat diffusion simulation using graphics cards. It d...
We document speed-up gains of graphical processing unit (GPU) computing over central processing unit...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
To address the problem of performing long time simula-tions of biochemical pathways under in vivo ce...
The simulation of diffusion by Monte Carlo methods is often essential to describing NMR measurements...
A highly optimized implementation of binary mixture diffusion with no initial bulk velocity on graph...
Compartmental modeling is a widely used tool in neurophysiology but the detail and scope of such mod...
In the present article, a flexible and fast computer program, called fast-dm, for diffusion model da...
Diffusion MRI (dMRI) allows for investigating the structure of the human brain. This is useful for b...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions a...
Abstract: The graphics processing unit (GPU) has emerged as a power-ful and cost effective processor...
This paper presents PDEs that describes sedimentation by a system of diffusion and transportation eq...
The spread of infectious diseases arises from complex interactions between disease dynamics and huma...
Verdonck, S., Meers, K., & Tuerlinckx, F. (in press). Efficient simulation of diffusion-based c...
This master's thesis deals with acceleration of heat diffusion simulation using graphics cards. It d...
We document speed-up gains of graphical processing unit (GPU) computing over central processing unit...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
To address the problem of performing long time simula-tions of biochemical pathways under in vivo ce...
The simulation of diffusion by Monte Carlo methods is often essential to describing NMR measurements...
A highly optimized implementation of binary mixture diffusion with no initial bulk velocity on graph...
Compartmental modeling is a widely used tool in neurophysiology but the detail and scope of such mod...
In the present article, a flexible and fast computer program, called fast-dm, for diffusion model da...
Diffusion MRI (dMRI) allows for investigating the structure of the human brain. This is useful for b...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions a...
Abstract: The graphics processing unit (GPU) has emerged as a power-ful and cost effective processor...
This paper presents PDEs that describes sedimentation by a system of diffusion and transportation eq...
The spread of infectious diseases arises from complex interactions between disease dynamics and huma...