Steering in computational science: mesoscale modelling and simulation

Abstract

This paper outlines the benefits of computational steering for high performance computing applications. Lattice-Boltzmann mesoscale fluid simulations of binary and ternary amphiphilic fluids in two and three dimensions are used to illustrate the substantial improvements which computational steering offers in terms of resource efficiency and time to discover new physics. We discuss details of our current steering implementations and describe their future outlook with the advent of computational grids.

40 pages, 11 figures. Accepted for publication in Contemporary Physics

References in corpus (3)

• Three-dimensional lattice-Boltzmann simulations of critical spinodal decomposition in binary immiscible fluids
• Simulations of amphiphilic fluids using mesoscale lattice-Boltzmann and lattice-gas methods
• Three dimensional hysdrodynamic lattice-gas simulations of binary immiscible and ternary amphiphilic flow through porous media

Cited by in corpus (10)

• Large-scale lattice Boltzmann simulations of complex fluids: advances through the advent of computational grids
• Large-scale grid-enabled lattice-Boltzmann simulations of complex fluid flow in porous media and under shear
• Coarsening dynamics of ternary amphiphilic fluids and the self-assembly of the gyroid and sponge mesophases: lattice-Boltzmann simulations
• Self-assembly of the gyroid cubic mesophase: lattice-Boltzmann simulations
• Detection and tracking of defects in the gyroid mesophase
• Inertial focusing of a dilute suspension in pipe flow
• JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
• Coupled applications on distributed resources
• Computational Steering of Cluster Formation in Brownian Suspensions
• SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments