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From CPU to GPU: GPU-based electromagnetic computing (GPUECO)
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DOI：10.2528/PIER07121302.png)
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Abstract
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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 30 times faster results.
Keywords:
EQUIVALENT EDGE CURRENTS
NURBS SURFACES
PHYSICAL-OPTICS
RCS COMPUTATION
ALGORITHM
DIVISION
TARGETS
RAYS
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2.9K
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2.7K
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