Paper Info
Title
Accelerating three-dimensional FDTD calculations on GPU clusters for electromagnetic field simulation.
Abstract
Electromagnetic simulation with anatomically realistic computational human model using the finite-difference time domain (FDTD) method has recently been performed in a number of fields in biomedical engineering. To improve the method's calculation speed and realize large-scale computing with the computational human model, we adapt three-dimensional FDTD code to a multi-GPU cluster environment with Compute Unified Device Architecture and Message Passing Interface. Our multi-GPU cluster system consists of three nodes. The seven GPU boards (NVIDIA Tesla C2070) are mounted on each node. We examined the performance of the FDTD calculation on multi-GPU cluster environment. We confirmed that the FDTD calculation on the multi-GPU clusters is faster than that on a multi-GPU (a single workstation), and we also found that the GPU cluster system calculate faster than a vector supercomputer. In addition, our GPU cluster system allowed us to perform the large-scale FDTD calculation because were able to use GPU memory of over 100 GB.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6347287
EMBC
Keywords
Field
DocType
3d fdtd code,3d fdtd calculation acceleration,parallel architectures,graphics processing units,biomedical engineering,compute unified device architecture,finite difference time domain,message passing interface,multigpu clusters,physiological models,electromagnetic field simulation,simulation,bioelectric phenomena,biomagnetism,finite difference time-domain analysis,message passing,medical computing,cuda-mpi,nvidia tesla c2070,multigpu cluster environment,anatomically realistic computational human model,large scale computing
Time domain,Cluster (physics),GPU cluster,Supercomputer,Computer science,Parallel computing,Message Passing Interface,Finite-difference time-domain method,Computational science,Electromagnetic field,Message passing
Conference
Volume
ISSN
ISBN
2012
1557-170X
978-1-4577-1787-1
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Tomoaki Nagaoka102.37
Soichi Watanabe21315.03