International audienceA performance evaluation of parallel Monte-Carlo simulations on GPU and MIC is presented and the application to stratospheric balloon envelope drift descent is considered. The experiments show that GPU and MIC permit one to decrease computing time by a factor of 4 and 2, respectively, as compared to a parallel code implemented on a two sockets CPU (E5-2680-v2) which allows us to use these devices in operational conditions
To take advantage of the computational power of GPUs, algorithms that work well on CPUs must be modi...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
With strict detailed balance, parallel Monte Carlo simulation through domain decomposition cannot be...
International audienceA performance evaluation of parallel Monte-Carlo simulations on GPU and MIC is...
International audienceThe efficiency of a pleasingly parallel application is studied for several com...
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...
Monte Carlo (MC) simulations of photon transport in turbid media suffer a severe limitation represen...
This paper describes a parallel implementation of the direct simulation Monte Carlo (DSMC) method. R...
This paper contains two parts revolving around Monte Carlo transport simulation on Intel Many Integr...
The efficient parallel implementation of a 3-D Monte Carlo device simulator is described. The parall...
General-purpose computing on graphics processing units (GPGPU) is shown to dramatically increase the...
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures d...
Although Monte Carlo (MC) simulations represent an accurate and flexible tool to study the photon tr...
To take advantage of the computational power of GPUs, algorithms that work well on CPUs must be modi...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
With strict detailed balance, parallel Monte Carlo simulation through domain decomposition cannot be...
International audienceA performance evaluation of parallel Monte-Carlo simulations on GPU and MIC is...
International audienceThe efficiency of a pleasingly parallel application is studied for several com...
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...
Monte Carlo (MC) simulations of photon transport in turbid media suffer a severe limitation represen...
This paper describes a parallel implementation of the direct simulation Monte Carlo (DSMC) method. R...
This paper contains two parts revolving around Monte Carlo transport simulation on Intel Many Integr...
The efficient parallel implementation of a 3-D Monte Carlo device simulator is described. The parall...
General-purpose computing on graphics processing units (GPGPU) is shown to dramatically increase the...
The Monte Carlo neutron transport method can be naturally parallelized by multi-core architectures d...
Although Monte Carlo (MC) simulations represent an accurate and flexible tool to study the photon tr...
To take advantage of the computational power of GPUs, algorithms that work well on CPUs must be modi...
Abstract. We argue that Monte Carlo algorithms are ideally suited to parallel computing, and that “p...
With strict detailed balance, parallel Monte Carlo simulation through domain decomposition cannot be...