OpenCL parallel integration of ordinary differential equations: applications in computational dynamics
type: Item
instance of: scholarly article
title: OpenCL parallel integration of ordinary differential equations: applications in computational dynamics
zbMATH Open document ID: 1380.65476
author: Marcos Rodríguez
author: Fernando Blesa
author: Roberto Barrio
published in: Computer Physics Communications
publication date: 2017-11-30T00:00:00Z
Mathematics Subject Classification ID: 65Y15
Mathematics Subject Classification ID: 65L06
Mathematics Subject Classification ID: 65P20
Mathematics Subject Classification ID: 65Y05
zbMATH DE Number: 6813980
zbMATH Keywords: parallel computing
zbMATH Keywords: Runge-Kutta method
zbMATH Keywords: Taylor series method
zbMATH Keywords: GPU
zbMATH Keywords: OpenCL
zbMATH Keywords: computational dynamics
describes a project that uses: TIDES
describes a project that uses: SageMath
describes a project that uses: CUDA
describes a project that uses: OpenCL
MaRDI profile type: Publication
full work available at URL: j.cpc.2015.02.013
OpenAlex ID: W2054166498
cites work: PuReMD-GPU: A reactive molecular dynamics simulation package for GPUs
cites work: The Metropolis Monte Carlo method with CUDA enabled graphic processing units
cites work: Towards a generalised GPU/CPU shallow-flow modelling tool
cites work: Solving Ordinary Differential Equations I
cites work: A family of embedded Runge-Kutta formulae
cites work: Coefficients for the study of Runge-Kutta integration processes
cites work: Low-storage, explicit Runge-Kutta schemes for the compressible Navier-Stokes equations
cites work: Q4131550
cites work: Algorithm 924
cites work: Reducing rounding errors and achieving Brouwer's law with Taylor series method
cites work: Q3125531
cites work: ATOMFT: Solving ODEs and DAEs using Taylor series
cites work: Breaking the limits: The Taylor series method
cites work: TIDES tutorial: integrating ODEs by using the Taylor series method
cites work: COMPARATIVE STUDY OF VARIATIONAL CHAOS INDICATORS AND ODEs' NUMERICAL INTEGRATORS
cites work: On the relationship between fast Lyapunov indicator and periodic orbits for continuous flows
cites work: GPU and APU computations of finite time Lyapunov exponent fields
cites work: Mapping the Arnold web with a graphic processing unit
cites work: Complete dynamical analysis of a neuron model
DOI: 10.1016/J.CPC.2015.02.013
description: scientific article; zbMATH DE number 6813980