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We developed a GPU based single-pulse search pipeline (GSP) withcandidate-archiving database. Largely based upon the infrastructure of Opensource pulsar search and analysis toolkit (PRESTO), GSP implements GPUacceleration of the de-dispersion and integrates a candidate-archivingdatabase. We applied GSP to the data streams from the commensal radio astronomyFAST survey (CRAFTS), which resulted in a quasi-real-time processing. Theintegrated candidate database facilitates synergistic usage of multiplemachine-learning tools and thus improves efficient identification of radiopulsars such as rotating radio transients (RRATs) and Fast Radio Bursts (FRBs).We first tested GSP on pilot CRAFTS observations with the FAST Ultra-Wide Band(UWB) receiver. GSP detected all pulsars known from the the Parkes multibeampulsar survey in the respective sky area covered by the FAST-UWB. GSP alsodiscovered 13 new pulsars. We measured the computational efficiency of GSP tobe ~120 times faster than the original PRESTO and ~60 times faster than aMPI-parallelized version of PRESTO.

A GPU based single-pulse search pipeline (GSP) with database and its application to the commensal radio astronomy FAST survey (CRAFTS)