We show that efficient simulations of the Kardar-Parisi-Zhang interface growth in 2 + 1 dimensions and of the 3-dimensional Kinetic Monte Carlo of thermally activated diffusion can be realized both on GPUs and modern CPUs. In this article we present results of different implementations on GPUs using CUDA and OpenCL and also on CPUs using OpenCL and MPI. We investigate the runtime and scaling behavior on different architectures to find optimal solutions for solving current simulation problems in the field of statistical physics and materials science
Molecular dynamics is used for simulating chemical systems with the goal of studying a large range o...
AbstractWe investigate new programming techniques for parallel tempering Monte Carlo simulations of ...
Simulations of systems with quenched disorder are extremely demanding, suffering from the combined e...
Restricted solid on solid surface growth models can be mapped onto binary lattice gases. We show tha...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
We present a case study on the utility of graphics cards to perform massively parallel simulation of...
We discuss the advantages of parallelization by multithreading on graphics processing units (GPUs) f...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
We present a case-study on the utility of graphics cards to perform massively parallel simulation of...
In this contribution we describe an efficient GPU implementation of the Monte-Carlo simulation of th...
We present a case-study on the utility of graphics cards to perform massively parallel sim ulation w...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic p...
We discuss the computational bottlenecks in molecular dynamics (MD) and describe the challenges in p...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
Molecular dynamics is used for simulating chemical systems with the goal of studying a large range o...
AbstractWe investigate new programming techniques for parallel tempering Monte Carlo simulations of ...
Simulations of systems with quenched disorder are extremely demanding, suffering from the combined e...
Restricted solid on solid surface growth models can be mapped onto binary lattice gases. We show tha...
The main purpose of this work was to develop a more time efficient solution to the Lotka- Volterra m...
We present a case study on the utility of graphics cards to perform massively parallel simulation of...
We discuss the advantages of parallelization by multithreading on graphics processing units (GPUs) f...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
We present a case-study on the utility of graphics cards to perform massively parallel simulation of...
In this contribution we describe an efficient GPU implementation of the Monte-Carlo simulation of th...
We present a case-study on the utility of graphics cards to perform massively parallel sim ulation w...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic p...
We discuss the computational bottlenecks in molecular dynamics (MD) and describe the challenges in p...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
Molecular dynamics is used for simulating chemical systems with the goal of studying a large range o...
AbstractWe investigate new programming techniques for parallel tempering Monte Carlo simulations of ...
Simulations of systems with quenched disorder are extremely demanding, suffering from the combined e...