Wave Field Synthesis (WFS) is a spatial audio reproduction system that provides an accurate spatial sound field in a wide area. This sound field is rendered through a high number of loudspeakers to emulate virtual sound sources. WFS systems require high computational capacity since they involve multiple loudspeakers and multiple virtual sources. Furthermore improvements of the spatial audio perception imply even higher processing capacity, mainly to avoid artifacts when the virtual sources move, and compensate the room e ects at certain control points within the listening area. Graphics Processing Units (GPUs) are well-known for their potential in highly parallel data processing. In this paper, we propose a GPU implementation that yields maximum parallelism by adapting the required computations to the di erent GPU architectures (Tesla, Fermi and Kepler).
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