摘要
We developed a GPU based single-pulse search pipeline(GSP)with a candidate-archiving database.Largely based upon the infrastructure of the open source PulsaR Exploration and Search Toolkit(PRESTO),GSP implements GPU acceleration of the de-dispersion and integrates a candidate-archiving database.We applied GSP to the data streams from the Commensal Radio Astronomy FAST Survey(CRAFTS),which resulted in quasi-real-time processing.The integrated candidate database facilitates synergistic usage of multiple machine-learning tools and thus improves efficient identification of radio pulsars 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 multibeam pulsar survey in the corresponding sky area covered by the FAST-UWB.GSP also discovered 13 new pulsars.We measured the computational efficiency of GSP to be~120 times faster than the original PRESTO and~60 times faster than an MPI-parallelized version of PRESTO.
作者
游善平
王培
于徐红
谢晓尧
李菂
刘志杰
潘之辰
岳友岭
钱磊
张彬
陈宗浩
Shan-Ping You;Pei Wang;Xu-Hong Yu;Xiao-Yao Xie;Di Li;Zhi-Jie Liu;Zhi-Chen Pan;You-Ling Yue;Lei Qian;Bin Zhang;Zong-Hao Chen(School of Computer Science and Technology,Guizhou University,Guiyang 550025,China;Key Laboratory of Information and Computing Science Guizhou Province,Guizhou Normal University,Guiyang 550001,China;CAS Key Laboratory of FAST,NAOC,Chinese Academy of Sciences,Beijing 100101,China;NAOC-UKZN Computational Astrophysics Centre,University of Kwa Zulu-Natal,Durban 4000,South Africa)
基金
supported by the National Natural Science Foundation of China(NSFC
Grant Nos.11988101,11725313,11690024,12041303,U1731238,U2031117,U1831131 and U1831207)
supported by the Science and Technology Foundation of Guizhou Province(No.LKS[2010]38)
support by the Youth Innovation Promotion Association CAS(id.2021055)
cultivation project for FAST scientific payoff and research achievement of CAMS-CAS。