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In the last few years, the graphics processor units (GPUs) have moved away from the traditional fixed-function 3D graphics pipeline toward a flexible general-purpose computational engine. With the Nvidia Compute Unified Device Architecture (CUDA), one can get orders-of-magnitude performance increases over standard multi-core processors, while programming with a high-level language such as C. In this work we implement some parts of the the event reconstruction algorithms in CUDA and compared the performance and scalability on different NVIDIA cards.

Applying CUDA Computing Model To Event Reconstruction Software