Multi-GPGPU Cellular Automata Simulations using OpenCL
Creators
- 1. sebastian.szkoda@ift.uni.wroc.pl Faculty of Physics and Astronomy, University of Wroclaw, Poland
Contributors
Others:
- 1. Faculty of Physics and Astronomy, University of Wroclaw, Poland
- 2. Institute of Computer Engineering, Control and Robotics, Wroclaw University of Technology, Poland; Wrocław Centre for Networking and Supercomputing, Wroclaw University of Technology, Poland
Description
The aim of this research it to examine the possibility of parallelizing the Frish-Hasslacher-Pomeau (FHP) model, a cellular
automata algorithm for modeling fluid flow, on clusters of modern graphics processing units (GPUs). To this end an Open
Computing Language (OpenCL) implementation for GPUs was written and compared with a previous, semi-automatic one
based on the OpenACC compiler pragmas (S. Szkoda, Z. Koza, and M. Tykierko, Multi-GPGPU Cellular Automata
Simulations using OpenACC, http://www.prace-project.eu/IMG/pdf/wp154.pdf). Both implementations were tested on up to
16 Fermi-class GPUs using the MPICH3 library for the inter-process communication. We found that for both of the multi-
GPU implementations the weak scaling is practically linear for up to 16 devices, which suggests that the FHP model can be
successfully run even on much larger clusters. Secondly, while the pragma-based OpenACC implementation is much easier
to develop and maintain, it gives as good performance as the manually written OpenCL code.
Files
WP184.pdf
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