Tag: numerical modeling
Evaluating polynomials in several variables and their derivatives on a GPU computing processor
In this paper we describe algorithms for the massively parallel evaluation and differentiation of polynomials in several variables
GPU Acceleration of Runge-Kutta Integrators
We consider the use of commodity graphics processing units (GPUs) for the common task of numerically integrating ordinary differential equations (ODEs), achieving speedups of up to 115-fold over comparable serial CPU implementations, and 15-fold over multithreaded CPU code with SIMD intrinsics.
Application of Graphics Processing Units to the Study of Non-linear Dynamics of the Exciton Bose-Einstein Condensate
We have investigated the application of GPUs using NVIDIA’s CUDA programming environment to the numerical solution of the Gross-Pitaevskii equation, which describes the dynamics of the Bose-Einstein condensate of excitons in a semiconductor quantum well.
GPU Acceleration of the Goddard Earth Observing System Atmospheric Model
Implementation of GEOS-5 on GPUs provides a useful benchmark for the scalability of global atmospheric models on GPUs, and facilitates evaluation of future system architecture configurations.
Development of a Flow Solver with Complex Kinetics on the Graphic Processing Units
In the current paper, we described the implementation of a numerical solver for simulating chemically reacting flow on the GPU. The fluid dynamics is modeled using high-order shock-capturing schemes, and the chemical kinetics is solved using an implicit solver.
Special Issue on “Aspects of Numerical Algorithms, Parallelization and Applications”
Aspects of Numerical Algorithms, Parallelization and Applications have been a major thrust of research and have application throughout computational science and engineering. Numerical algorithms are widely used by scientists engaged in various scientific areas.
Performances of Navier-Stokes Solver on a Hybrid Computing System
A computational code for the numerical integration of the incompressible Navier-Stokes equations for the execution of accurate calculations with the approach of the Direct Numerical Simulation (DNS), is implemented on a specially-assembled hybrid CPU/GPU computing system.
The CUBLAS and CULA acceleration of adaptive finite element framework for bioluminescence tomography
In this paper, we for the first time introduce a new kind of acceleration technology to accelerate the AFE framework for BLT, using the graphics processing unit (GPU). Besides the processing speed, the GPU technology can get a balance between the cost and performance.
Numerical modeling of gravitational wave sources accelerated by OpenCL
In this work, authors used OpenCL framework to accelerate an EMRI modeling application using the hardware accelerators – Cell BE and Tesla CUDA GPU. Authors describe these compute technologies, present performance results, and then compare them with those from our previous implementations based on the native CUDA and Cell SDKs.
