GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform
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...
Saved in:
Main Authors: | Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2014/321081 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Optimized Parallel FDTD Topology for Challenging Electromagnetic Simulations on Supercomputers
by: Shugang Jiang, et al.
Published: (2015-01-01) -
Study on High Performance of MPI-Based Parallel FDTD from WorkStation to Super Computer Platform
by: Z. L. He, et al.
Published: (2012-01-01) -
Architecture design, key technologies, and application research of GPU heterogeneous resource pool platform based on virtualization
by: ZHANG Wancai, et al.
Published: (2024-09-01) -
Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU
by: Shao-ting LIU, et al.
Published: (2017-11-01) -
A Simulation Accelerating Method Based on CUDA with Kepler GPU
by: Bingjun Han, et al.
Published: (2015-10-01)