Development and performance of a HemeLB GPU code for human-scale blood flow simulation

DOI10.1016/j.cpc.2022.108548arXiv2202.11770OpenAlexW4296674923MaRDI QIDQ6155474

Peter V. Coveney, I. Zacharoudiou, J. W. S. McCullough

Publication date: 5 June 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.11770

zbMATH Keywords

lattice Boltzmann methodhigh performance computingblood flow modelling

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Statistical mechanics, structure of matter (82-XX)

Cites Work

• Unnamed Item
• Multi-GPU implementation of the lattice Boltzmann method
• Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network
• Hydrokinetic approach to large-scale cardiovascular blood flow
• Hemelb: A high performance parallel lattice-Boltzmann code for large scale fluid flow in complex geometries
• An evaluation of lattice Boltzmann schemes for porous medium flow simulation
• Palabos: parallel lattice Boltzmann solver
• \textsc{waLBerla}: a block-structured high-performance framework for multiphysics simulations
• Lattice Boltzmann Method and Its Applications in Engineering
• Lattice Boltzmann Method
• Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 1. Theoretical foundation
• The Lattice Boltzmann Equation
• The Lattice Boltzmann Method
• Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm
• A Model for Collision Processes in Gases. I. Small Amplitude Processes in Charged and Neutral One-Component Systems
• Lattice-Boltzmann simulations of particle-fluid suspensions.

This page was built for publication: Development and performance of a HemeLB GPU code for human-scale blood flow simulation