Acceleration of the dual-field domain decomposition algorithm using GPU clusters

The dual-field domain decomposition algorithm based on the element-level decomposition is accelerated using GPU clusters for electromagnetic analysis in the time domain. Various aspects of the implementation are investigated, and an optimal implementation strategy is proposed to utilize GPU´s parallelized architecture. An example shows that through careful arrangement of the GPU memory and thread allocation, a significant speedup can be achieved on a GPU cluster.