In this work, we investigate the global memory access mechanism on recent GPUs. For the purpose of this study, we created specific benchmark programs, which allowed us to explore the scheduling of global memory transactions. Thus, we formulate a model capable of estimating the execution time for a large class of applications. Our main goal is to facilitate optimisation of regular data-parallel applications on GPUs. As an example, we finally describe our CUDA implementations of LBM flow solvers on which our model was able to estimate performance with less than 5% relative error. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Obrecht, C., Kuznik, F., Tourancheau, B., & Roux, J. J. (2011). Global memory access modelling for efficient implementation of the lattice boltzmann method on graphics processing units. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6449 LNCS, pp. 151–161). https://doi.org/10.1007/978-3-642-19328-6_16
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