用图形处理器快速计算Lomb-Scargle周期图
Fast Calculation of the Lomb-Scargle Periodogram Using Graphics Processing Units
摘要：
我介绍了一种新的代码，用于快速计算Lomb-Scargle周期图，它利用了图形处理单元（GPU）的计算能力。在介绍了GPU计算这一新兴领域的背景之后，讨论了代码设计，并叙述了其源代码的关键部分。基准测试计算表明，与基于CPU的等效代码相比，准确性没有显着差异。然而，性能上的差异是明显的;在低端GPU上运行，代码可以匹配8个CPU核心，而在高端GPU上，它的速度接近30倍。该代码的应用包括分析正在进行的卫星飞行任务和即将建立的地面监测设施所获得的长测光时间序列;以及周期图统计特性的蒙特卡罗模拟。
英文摘要：
I introduce a new code for fast calculation of the Lomb-Scargle periodogram, that leverages the computing power of graphics processing units (GPUs). After establishing a background to the newly emergent field of GPU computing, I discuss the code design and narrate key parts of its source. Benchmarking calculations indicate no significant differences in accuracy compared to an equivalent CPU-based code. However, the differences in performance are pronounced; running on a low-end GPU, the code can match 8 CPU cores, and on a high-end GPU it is faster by a factor approaching thirty. Applications of the code include analysis of long photometric time series obtained by ongoing satellite missions and upcoming ground-based monitoring facilities; and Monte-Carlo simulation of periodogram statistical properties.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
