Modern GPUs (graphical processing units) are a common source of processing power inmany supercomputers. Their performance derives from the highly parallel architecture that is em-ployed and have the benefit of low cost, temperature and power consumption. Two finite differencemodels have been implemented on GPU, a semi-implicit and an explicit algorithm, to numericallymodel a stratified shear layer, that needs fine meshes to be modelled accurately. The GPU modelswere shown to improve performance by factors of around 50x and 20x for the semi-implicit and ex-plicit models respectively
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel comp...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
Modern GPUs (graphical processing units) are a common source of processing power inmany supercompute...
The continued development of improved algorithms and architecture for numerical simulations is at th...
A computational Fluid Dynamics (CFD) code for steady simulations solves a set of non-linear partial ...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
The Explicit Finite Element Method is a powerful tool in nonlinear dynamic finite element analysis. ...
Finite di↵erence methods continue to provide an important and parallelisable approach to many numeri...
This paper will show a comparison between the Kepler, Maxwell and Pascal GPU architectures using CUD...
Heterogeneous and parallel computing systems are increasingly appealing to high-performance computin...
The advances in multi-core architecture for general-purpose computing in the past decade have tremen...
An explicit second-order finite-difference computer model was developed and optimized for solution o...
AbstractComputational Fluid Dynamics (CFD) utilizes numerical solutions of Partial Differential Equa...
Abstract—Current CPU and GPU architectures heavily use data and instruction parallelism at different...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel comp...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
Modern GPUs (graphical processing units) are a common source of processing power inmany supercompute...
The continued development of improved algorithms and architecture for numerical simulations is at th...
A computational Fluid Dynamics (CFD) code for steady simulations solves a set of non-linear partial ...
This paper discusses the implementation of one-factor and three-factor PDE models on GPUs. Both expl...
The Explicit Finite Element Method is a powerful tool in nonlinear dynamic finite element analysis. ...
Finite di↵erence methods continue to provide an important and parallelisable approach to many numeri...
This paper will show a comparison between the Kepler, Maxwell and Pascal GPU architectures using CUD...
Heterogeneous and parallel computing systems are increasingly appealing to high-performance computin...
The advances in multi-core architecture for general-purpose computing in the past decade have tremen...
An explicit second-order finite-difference computer model was developed and optimized for solution o...
AbstractComputational Fluid Dynamics (CFD) utilizes numerical solutions of Partial Differential Equa...
Abstract—Current CPU and GPU architectures heavily use data and instruction parallelism at different...
Graphical processing units (GPUs) have recently attracted attention for scientific applications such...
General-purpose computing on graphics processing units (GPGPU) is a massive fine-grain parallel comp...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...