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- W2009665355 abstract "Numerical dosimetry with the computational human model using the finite-difference time-domain (FDTD) method has recently been used for a safety assessment of electromagnetic field applications. However, the FDTD calculation runs very slowly and requires a large amount of computational memory. We focus, therefore, on general purpose programming on the graphics processing unit (GPGPU). We implemented the three-dimensional (3D) FDTD method on GPUs using Compute Unified Device Architecture (CUDA). In this study, we used the NVIDIA Tesla C2070 as a GPGPU board and tested the performance of FDTD computation on GPUs. The results indicated that while the single GPU/CPU speed ratio varies depending on the calculation domain, 3D-FDTD computation using a GPU requires significantly less run time than that using a conventional CPU. We confirmed that the FDTD computation on a multi-GPU is much faster than that on a single GPU, and we also found that eight GPUs can compute faster than a vector supercomputer." @default.
- W2009665355 created "2016-06-24" @default.
- W2009665355 creator A5073741458 @default.
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- W2009665355 date "2011-09-01" @default.
- W2009665355 modified "2023-09-25" @default.
- W2009665355 title "GPU-based 3D-FDTD computation for electromagnetic field dosimetry" @default.
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- W2009665355 doi "https://doi.org/10.1109/afrcon.2011.6072180" @default.
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