In this paper, the shooting and bouncing ray (SBR) method in combination with the truncated wedge incremental length diffraction coefficients (TW-ILDCs) is implemented on the heterogeneous CPU-GPU architecture to effectively solve the electromagnetic scattering problems. The SBR is mapped to the GPU because numerous independent ray tubes can make full use of the massively parallel resources on the GPU, while the TW-ILDCs are implemented on the CPU since they require complex and high-precision numerical calculation to get the accurate result. As the computation times of neighboring aspect angles are similar, a dynamic load adjustment method is presented to achieve reasonable load balancing between the CPU and GPU. Applications, including the radar cross section (RCS) prediction and inverse synthetic aperture radar (ISAR) imaging, demonstrate that the proposed method can greatly improve the computational efficiency by fully utilizing all available resources of the heterogeneous system.
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