Abstract
Acceleration of the multilevel physical optics (MLPO) algorithm using the single instruction multiple threads (SIMT) computing scheme, as implemented on a CUDA-architecture based GPU accelerator is presented. The MLPO algorithm already reduces the computing complexity (CC) of the physical optics based radiation pattern calculation algorithm to O(N2logN), as compared to the O(N3) or O(N4) CC of the straight-forward implementation (depending on the nature of the problem). Here, N=kR, R being the radius of the smallest sphere containing the radiating aperture and k - the wavenumber. By implementing on a GPU, the MLPO algorithm is accelerated tenfold, allowing fast and efficient evaluation of physical optics integrals. Performance improving optimizations of the parallel code are described. Finally, a timing model that provides estimates of the GPU computation time is presented and compared to the actual GPU run-time measurements.
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