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In this paper we report the prototype of the first coalescing binarydetection pipeline fully implemented on NVIDIA GPU hardware accelerators. Thecode has been embedded in a GPU library, called cuInspiral and has beendeveloped under CUDA framework. The library contains for example a PNgravitational wave signal generator, matched filtering/FFT and detectionalgorithms that have been profiled and compared with the corresponding CPU codewith dedicated benchmark in order to provide gain factor respect to thestandard CPU implementation. In the paper we present performances and accuracyresults about some of the main important elements of the pipeline,demonstrating the feasibility and the chance of obtain an impressive computinggain from these new many-core architectures in the perspective of the secondand third generations of gravitational wave detectors.

cuInspiral: prototype gravitational waves detection pipeline fully coded on GPU using CUDA