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Abstract
The discrete Green's function (DGF) formulation of the finite-difference time-domain method (FDTD) is accelerated on a graphics processing unit (GPU) by means of the Compute Unified Device Architecture (CUDA) technology. In the developed implementation of the DGF-FDTD method, a new analytic expression for dyadic DGF derived based on scalar DGF is employed in computations. The DGF-FDTD method on GPU returns solutions that are compatible with the FDTD grid enabling the perfect hybridization of FDTD with the use of time-domain integral equation methods. The correctness of the results of the DGF-FDTD simulations on GPU is verified with the use of the FDTD method executed on a multicore central processing unit (CPU). The developed implementation provides maximally a six-fold speedup relative to the code executed on multicore CPU.
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Title of issue:
- Parallel implementation of the DGF-FDTD method on GPU Using the CUDA technology strony 1 - 4
- Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Stefański T., Dziubak T., Orłowski S..: Parallel implementation of the DGF-FDTD method on GPU Using the CUDA technology, W: Parallel implementation of the DGF-FDTD method on GPU Using the CUDA technology, 2016, IEEE,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/mikon.2016.7492112
- Verified by:
- Gdańsk University of Technology
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