Article
 

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Public Deposited

Downloadable Content

Download PDF
https://ir.library.oregonstate.edu/concern/articles/z029p9648

Descriptions

Attribute NameValues
Creator
Abstract
  • The progress made in accelerating simulations of fluid flow using GPUs, and the challenges that remain, are surveyed. The review first provides an introduction to GPU computing and programming, and discusses various considerations for improved performance. Case studies comparing the performance of CPU- and GPUbased solvers for the Laplace and incompressible Navier–Stokes equations are performed in order to demonstrate the potential improvement even with simple codes. Recent efforts to accelerate CFD simulations using GPUs are reviewed for laminar, turbulent, and reactive flow solvers. Also, GPU implementations of the lattice Boltzmann method are reviewed. Finally, recommendations for implementing CFD codes on GPUs are given and remaining challenges are discussed, such as the need to develop new strategies and redesign algorithms to enable GPU acceleration.
  • Keywords: Graphics processing unit (GPU), Reactive flow, Computational fluid dynamics (CFD), Laminar flows, Turbulent flow, CUDA
Resource Type
DOI
Date Available
Date Issued
Citation
  • Niemeyer, K. E., & Sung, C. J. (2014). Recent progress and challenges in exploiting graphics processors in computational fluid dynamics. The Journal of Supercomputing, 67(2), 528-564. doi:10.1007/s11227-013-1015-7
Journal Title
Journal Volume
  • 67
Journal Issue/Number
  • 2
Rights Statement
Funding Statement (additional comments about funding)
  • This work was supported by the National Science Foundation under grant number 0932559, the US Department of Defense through the National Defense Science and Engineering Graduate Fellowship program, the National Science Foundation Graduate Research Fellowship under grant number DGE-0951783, and the Combustion Energy Frontier Research Center—an Energy Frontier Research Center funded by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under award number DE-SC0001198.
Publisher
Peer Reviewed
Language
Replaces

Relationships

Parents:

This work has no parents.

Items