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PIER PIER B PIER C PIER M PIER Letters
2008-01-03
From Cpu to GPU: GPU-Based Electromagnetic Computing (GPUECO)
By
Yu Bo Tao,

    Dr. Yu Bo Tao

    College of Computer Science

    Zhejiang University

    P.R. China

    Homepage

Hai Lin,

    Professor Hai Lin

    Zhejiang University

    China

    Homepage

Hu Bao

    Dr. Hu Bao

    State Key Laboratory of CAD&CG

    Zhejiang University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 81, 1-19, 2008
doi:10.2528/PIER07121302
Abstract
In this paper, we provide a new architecture by using the programmable graphics processing unit (GPU) to move all electromagnetic computing code to graphical hardware, which significantly accelerates Graphical electromagnetic computing (GRECO) method. We name this method GPUECO. The GPUECO method not only employs the hidden surface removal technique of graphics hardware to identify the surfaces and wedges visible from the radar direction, but also utilizes the formidable of computing power in programmable GPUs to predict the scattered fields of visible surfaces and wedges using the Physical Optical (PO) and Equivalent Edge Current (EEC). The computational efficiency of the scattered field in fragment processors is further enhanced using the Z-Cull and parallel reduction techniques, which avoid the inconsistent branching and the addition of the scattered fields in CPU, respectively. Numerical results show excellent agreement with the exact solution and measured data and, the GPUECO method yields approximately 30times faster results.
Citation
Yu Bo Tao, Hai Lin, and Hu Bao, "From Cpu to GPU: GPU-Based Electromagnetic Computing (GPUECO)," Progress In Electromagnetics Research, Vol. 81, 1-19, 2008.
doi:10.2528/PIER07121302
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