Abstract
This paper describes a fast implementation of a FEM application on a GPU. We implemented our own FEM application and succeeded in obtaining a performance improvement in two of our application components: Matrix Assembly and Sparse Matrix Solver. Moreover, we found that accelerating our Boundary Condition Setting component on the GPU and omitting CPU–GPU data transfer between Matrix Assembly and Sparse Matrix Solver slightly further reduces execution time. As a result, the execution time of the entire FEM application was shortened from 44.65 sec on only a CPU (Nehalem architecture, 4 cores, OpenMP) to 17.52 sec on a CPU with a GPU (TeslaC2050).
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Ohshima, S., Hayashi, M., Katagiri, T., Nakajima, K. (2013). Implementation and Evaluation of 3D Finite Element Method Application for CUDA. In: Daydé, M., Marques, O., Nakajima, K. (eds) High Performance Computing for Computational Science - VECPAR 2012. VECPAR 2012. Lecture Notes in Computer Science, vol 7851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38718-0_16
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DOI: https://doi.org/10.1007/978-3-642-38718-0_16
Publisher Name: Springer, Berlin, Heidelberg
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