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GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform
Joint Authors
Jiang, Ronglin
Jiang, Shugang
Xu, Ying
Xu, Lei
Zhang, Dandan
Zhang, Yu
Source
International Journal of Antennas and Propagation
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper introduces a (finite difference time domain) FDTD code written in Fortran and CUDA for realistic electromagnetic calculations with parallelization methods of Message Passing Interface (MPI) and Open Multiprocessing (OpenMP).
Since both Central Processing Unit (CPU) and Graphics Processing Unit (GPU) resources are utilized, a faster execution speed can be reached compared to a traditional pure GPU code.
In our experiments, 64 NVIDIA TESLA K20m GPUs and 64 INTEL XEON E5-2670 CPUs are used to carry out the pure CPU, pure GPU, and CPU + GPU tests.
Relative to the pure CPU calculations for the same problems, the speedup ratio achieved by CPU + GPU calculations is around 14.
Compared to the pure GPU calculations for the same problems, the CPU + GPU calculations have 7.6%–13.2% performance improvement.
Because of the small memory size of GPUs, the FDTD problem size is usually very small.
However, this code can enlarge the maximum problem size by 25% without reducing the performance of traditional pure GPU code.
Finally, using this code, a microstrip antenna array with 16×18 elements is calculated and the radiation patterns are compared with the ones of MoM.
Results show that there is a well agreement between them.
American Psychological Association (APA)
Jiang, Ronglin& Jiang, Shugang& Zhang, Yu& Xu, Ying& Xu, Lei& Zhang, Dandan. 2014. GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform. International Journal of Antennas and Propagation،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036036
Modern Language Association (MLA)
Jiang, Ronglin…[et al.]. GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform. International Journal of Antennas and Propagation No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1036036
American Medical Association (AMA)
Jiang, Ronglin& Jiang, Shugang& Zhang, Yu& Xu, Ying& Xu, Lei& Zhang, Dandan. GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform. International Journal of Antennas and Propagation. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1036036
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1036036