Abstract
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.
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Obrecht, C., Kuznik, F., Tourancheau, B., Roux, JJ. (2011). Global Memory Access Modelling for Efficient Implementation of the Lattice Boltzmann Method on Graphics Processing Units. In: Palma, J.M.L.M., Daydé, M., Marques, O., Lopes, J.C. (eds) High Performance Computing for Computational Science – VECPAR 2010. VECPAR 2010. Lecture Notes in Computer Science, vol 6449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19328-6_16
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DOI: https://doi.org/10.1007/978-3-642-19328-6_16
Publisher Name: Springer, Berlin, Heidelberg
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