In this paper, we present algorithms for efficient GPU parallel processing of two widely used tools in ultrasound: cubic spline interpolation and Loupas' two-dimensional autocorrelator for displacement estimation. It is shown that a commercially available graphics card can be used for these computations, achieving speed increases up to 40× as compared to single CPU processing. Thus, we conclude that the GPU based data processing approach facilitates real-time (i.e. < 1 second) display of ARFI data
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408661/