GPU accelerated post-processing for multifrequency biplanar interferometric imaging

Multifrequency biplanar interferometric imaging (MBI) is a contemporary acoustic-data processing technology designed to remotely image the seabed or objects in the ocean. MBI requires a computationally intense data conditioning algorithm. For example, it takes a serial central processing unit (CPU) 10 seconds to process each transmission for typical survey data from of a five-beam/frequency group for split-aperture echosounders (e.g., Simrad EK60). However, because many of the computations may be processed in parallel, we utilized a graphic processing unit (GPU) to accelerate the computations. Here we present the GPU accelerated approach and discuss its optimization. The GPU implementation was 40-fold faster than the baseline serial CPU implementation.