  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 GPU- based 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.
