Abstract
Many-Core system plays a key role on High Performance Computing, HPC, nowadays. This platform shows the big potential on the performance per watt, performance per floor area, cost performance, and so on. This paper presents a finite difference scheme solving the general convection-diffusion-reaction equations adapted for application of Graphics Processing Units (GPU) and multithreading. A two-dimensional nonlinear Burgers’ equation was chosen as the test case. The best results that we measured are speed-up ratio of 12 times at mesh size 1026×1026 by using GPU and 20 times at mesh size 514×514 by using full 8 CPU cores when compared with an equivalent single CPU code.
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Kuo, SH., Hsieh, CW., Lin, RK., Sheu, WH. (2010). Solving Burgers’ Equation Using Multithreading and GPU. In: Hsu, CH., Yang, L.T., Park, J.H., Yeo, SS. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2010. Lecture Notes in Computer Science, vol 6082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13136-3_31
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DOI: https://doi.org/10.1007/978-3-642-13136-3_31
Publisher Name: Springer, Berlin, Heidelberg
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