Acceleration of the Dual-Field Domain Decomposition Algorithm Using MPI-CUDA on Large-Scale Computing Systems

It is well known that graphics processing units (GPUs) are able to accelerate highly parallelizable algorithms with a high speedup. However, for less-parallelizable algorithms such as the finite element method, novel schemes are needed to achieve a high speedup. In this paper, the dual-field domain...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2014-09, Vol.62 (9), p.4706-4715
Main Authors: Meng, Huan-Ting, Jin, Jian-Ming
Format: Article
Language:English
Subjects:
Acceleration
Algorithm design and analysis
Algorithms
Circuit analysis
Clusters
Computation
compute unified device architecture (CUDA)
Computer architecture
Computer simulation
Domain decomposition
Finite element analysis
GPU cluster
graphics processing unit (GPU)
Graphics processing units
high-performance computing
Instruction sets
message-passing interface (MPI)
multi-GPU
Parallel processing
parallel programming
radar cross section
time-domain analysis
Vectors
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