In this contribution we describe an efficient GPU implementation of the Monte-Carlo simulation of the Ginzburg-Landau model. We achieve the performance close to 50 % of the peak performance of the used GPU. We compare this performance with a parallelized and vectorized CPU code and discuss the observed differences
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures d...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
This work presents a study of the applicability of a massively parallel computing paradigm to Monte ...
We present a case study on the utility of graphics cards to perform massively parallel simulation of...
We present a case-study on the utility of graphics cards to perform massively parallel simulation of...
We present a case-study on the utility of graphics cards to perform massively parallel sim ulation w...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
This paper presents a GPU-based parallelized and a CPU-based serial Monte-Carlo method for breakage ...
The continual development of sophisticated transport simulation algorithms allows increasingly accur...
Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface be...
Computational finance relies heavily on the use of Monte Carlo simulation techniques. However, Monte...
<p>In recent years, the Hamiltonian Monte Carlo (HMC) algorithm has been found to work more efficien...
The speed, bandwidth and cost characteristics of today's PC graphics cards make them an attractive t...
This thesis considers several different techniques for optimizing Monte Carlo simulations. The Monte...
GPU computing has become popular in computational finance and many financial institutions are moving...
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures d...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
This work presents a study of the applicability of a massively parallel computing paradigm to Monte ...
We present a case study on the utility of graphics cards to perform massively parallel simulation of...
We present a case-study on the utility of graphics cards to perform massively parallel simulation of...
We present a case-study on the utility of graphics cards to perform massively parallel sim ulation w...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
This paper presents a GPU-based parallelized and a CPU-based serial Monte-Carlo method for breakage ...
The continual development of sophisticated transport simulation algorithms allows increasingly accur...
Modern graphics cards, commonly used in desktop computers, have evolved beyond a simple interface be...
Computational finance relies heavily on the use of Monte Carlo simulation techniques. However, Monte...
<p>In recent years, the Hamiltonian Monte Carlo (HMC) algorithm has been found to work more efficien...
The speed, bandwidth and cost characteristics of today's PC graphics cards make them an attractive t...
This thesis considers several different techniques for optimizing Monte Carlo simulations. The Monte...
GPU computing has become popular in computational finance and many financial institutions are moving...
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures d...
The compute unified device architecture (CUDA) is a programming approach for performing scientific c...
This work presents a study of the applicability of a massively parallel computing paradigm to Monte ...