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Abstract
We present a parallel implementation of the discrete Green's function formulation of the finite-difference time-domain (DGF-FDTD) method on a graphics processing unit (GPU). The compute unified device architecture (CUDA) parallel computing platform is applied in the developed implementation. For the sake of example, arrays of Yagi-Uda antennas were simulated with the use of DGF-FDTD on GPU. The efficiency of parallel computations is presented as a function of the number of current elements in such wire antennas. The speedup of the developed implementation approaches maximally 10 relative to the code executed on a multicore central processing unit (CPU). Furthermore, the hybrid technique combining FDTD and its convolution formulation based on DGF was implemented on a heterogeneous CPU-GPU system, facilitating our research on the DGF-FDTD method.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- The 2015 9th European Conference on Antennas and Propagation (EuCAP) strony 1 - 5
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Dziubak T., Wiktor M., Orłowski S., Stefański T..: Acceleration of the DGF-FDTD method on GPU using the CUDA technology, W: The 2015 9th European Conference on Antennas and Propagation (EuCAP), 2015, IEEE,.
- Verified by:
- Gdańsk University of Technology
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