𝔖 Bobbio Scriptorium
✦   LIBER   ✦

LBM based flow simulation using GPU computing processor

✍ Scribed by Frédéric Kuznik; Christian Obrecht; Gilles Rusaouen; Jean-Jacques Roux

Book ID
104008703
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
851 KB
Volume
59
Category
Article
ISSN
0898-1221

No coin nor oath required. For personal study only.

✦ Synopsis

a b s t r a c t Graphics Processing Units (GPUs), originally developed for computer games, now provide computational power for scientific applications. In this paper, we develop a general purpose Lattice Boltzmann code that runs entirely on a single GPU. The results show that: (1) simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision; (2) the implementation of LBM on GPUs allows us to achieve up to about one billion lattice update per second using single precision floating point; (3) GPUs provide an inexpensive alternative to large clusters for fluid dynamics prediction.

📜 SIMILAR VOLUMES

Optimization and stabilization of LBM fr
Optimization and stabilization of LBM free surface flow simulations using adaptive parameterization
✍ Nils Thürey; Thomas Pohl; Ulrich Rüde; Markus Öchsner; Carolin Körner 📂 Article 📅 2006 🏛 Elsevier Science 🌐 English ⚖ 206 KB

We present a method to speed up and stabilize free surface simulations with the lattice Boltzmann method (LBM). This is done by adaptively changing the parameterization of the simulation in a way that corresponds to a different size of the simulation time step. This means that the Mach number change