论文标题
图形处理单元实现F统计量，用于连续重力波搜索
Graphics processing unit implementation of the F-statistic for continuous gravitational wave searches
论文作者
论文摘要
$ \ MATHCAL {F} $ - 统计量是一种检测统计量，广泛用于搜索具有陆地，长基线干涉仪的连续重力波。提出了$ \ Mathcal {F} $ - 统计量的新实现，该实现使用图形处理单元（GPU）加速了现有的“重采样”算法。新实现的运行速度比中央处理单元上现有的实现速度快10到100倍，而无需牺牲数值准确性。使用第二激光干涉仪重力波动仪观测奔跑中的数据，在对球状群集欧米茄半人马座中的四个新发现的毫秒脉冲星进行试验窄带搜索时，证明了GPU实现的实用性。使用新实施的计算成本为$ 17.2 $ GPU小时，而现有实施的1092个核心小时。
The $\mathcal{F}$-statistic is a detection statistic used widely in searches for continuous gravitational waves with terrestrial, long-baseline interferometers. A new implementation of the $\mathcal{F}$-statistic is presented which accelerates the existing "resampling" algorithm using graphics processing units (GPUs). The new implementation runs between 10 and 100 times faster than the existing implementation on central processing units without sacrificing numerical accuracy. The utility of the GPU implementation is demonstrated on a pilot narrowband search for four newly discovered millisecond pulsars in the globular cluster Omega Centauri using data from the second Laser Interferometer Gravitational-Wave Observatory observing run. The computational cost is $17.2$ GPU-hours using the new implementation, compared to 1092 core-hours with the existing implementation.
