基于GPU加速的FRB实时搜寻算法研究与测试

摘要

新疆天文台接收机团组以南山25 m射电望远镜科研需求和计划建设的奇台110m射电望远镜(QiTai radio Telescope,简称QTT)关键技术研究为背景,在原有的基于CPU (Central Processing Unit)的快速射电暴(Fast Radio Burst,简称FRB)搜寻算法基础上,研究了基于图形处理器(Graphics Processing Unit,简称GPU)加速的FRB搜寻算法,并搭建了相应的FRB实时搜寻系统平台.对CPU系统和GPU系统进行了对比与分析,测试结果表明:在保证搜寻精度的基础上,使用GPU加速的FRB实时搜寻算法相比CPU算法计算速度可提高35-45倍.%In order to satisfy the research needs of Nanshan 25 m radio telescope of Xinjiang Astronomical Observatory (XAO) and study the key technology of the planned QiTai radio Telescope (QTT),the receiver group of XAO studied the GPU (Graphics Processing Unit) based real-time FRB searching algorithm which developed from the original FRB searching algorithm based on CPU (Central Processing Unit),and built the FRB real-time searching system.The comparison of the GPU system and the CPU system shows that:on the basis of ensuring the accuracy of the search,the speed of the GPU accelerated algorithm is improved by 35-45 times compared with the CPU algorithm.