A GPU based single-pulse search pipeline (GSP) with database and its application to the Commensal Radio Astronomy FAST Survey (CRAFTS)
A GPU based single-pulse search pipeline (GSP) with database and its application to the Commensal Radio Astronomy FAST Survey (CRAFTS)
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DOI：
10.1088/1674-4527/21/12/314
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发表时间：
2021-10
影响因子：
1.8
通讯作者：
Shan-Ping 平 You 游善;Pei 培 Wang 王;Xu-Hong 红 Yu 于徐;Xiao-Yao 尧 Xie 谢晓;D. Li 李;Zhi-Jie 杰 Liu 刘志;Zhi-Chen 辰 Pan 潘之;You-Ling 岭 Yue 岳友;Lei 磊 Qian 钱;Bin 彬 Zhang 张;Zong-Hao 浩 Chen 陈宗
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作者：
Shan-Ping 平 You 游善;Pei 培 Wang 王;Xu-Hong 红 Yu 于徐;Xiao-Yao 尧 Xie 谢晓;D. Li 李;Zhi-Jie 杰 Liu 刘志;Zhi-Chen 辰 Pan 潘之;You-Ling 岭 Yue 岳友;Lei 磊 Qian 钱;Bin 彬 Zhang 张;Zong-Hao 浩 Chen 陈宗
我们开发了一个基于GPU的单脉冲搜索管道（GSP）与候选人存档数据库。GSP主要基于开源PulsaR Exploration and Search Toolkit（PRESTO）的基础设施，实现了去分散的GPU加速，并集成了候选归档数据库。我们将GSP应用于Commensal射电天文学快速调查（CRAFTS）的数据流，从而实现了准实时处理。集成的候选数据库促进了多个机器学习工具的协同使用，从而提高了对诸如旋转无线电瞬变（RRAT）和快速无线电突发（FRB）之类的无线电事件的有效识别。我们首先测试了飞行员CRAFTS观测与快速超宽带（UWB）接收器的GSP。GSP在FAST-UWB覆盖的相应天空区域中检测到了Parkes多波束脉冲星调查中已知的所有脉冲星。GSP还发现了13个新的卫星。我们测量了GSP的计算效率，比原始的PRESTO快120倍，比PRESTO的MPI并行版本快160倍。
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.