Described here are image reconstruction optimizations for ptychographic coherent X‐ray scattering data and X‐ray fluorescence, which have been developed for the new fourth‐generation synchrotron light source, Sirius, at the Brazilian Synchrotron Light Laboratory. The optimization strategy has been applied to the standard experimental strategy for ptychographic and fluorescence experiments on the Carnaúba beamline which involves the use of high‐speed continuous scans (fly scans) for a fast acquisition time over large areas through the use of a newly proposed trajectory named the alternating linear trajectory. The scientific computing developments presented here target an efficient use of graphical processing units (GPUs) to the point where large fly‐scan acquisitions can be processed in real time on a local high‐performance computer. Some optimizations involving a custom fast Fourier transform implementation and use of mixed precision can be applied to other algorithms and phase‐retrieval techniques, and therefore this work provides a general optimization scheme. Finally, the optimization strategy presented here has improved performance by a factor of ∼2.5 times faster when compared with non‐optimized GPU implementations.

中文翻译：

---

巴西第四代同步加速器Sirius的快速宗谱重建工具

这里描述的是针对谱图相干X射线散射数据和X射线荧光的图像重建优化，这些优化是在巴西同步加速器光实验室为新型第四代同步加速器光源Sirius开发的。该优化策略已应用于Carnaúba束线上的谱图和荧光实验的标准实验策略，该策略涉及通过使用新提议的轨迹，在大面积上使用高速连续扫描（fly scan）快速获取时间称为交变线性轨迹。此处介绍的科学计算开发旨在有效利用图形处理单元（GPU），以便可以在本地高性能计算机上实时处理大型飞行扫描采集。可以将涉及自定义快速傅里叶变换实现和混合精度使用的某些优化应用于其他算法和相位检索技术，因此，这项工作提供了一种通用的优化方案。最后，与未优化的GPU实现相比，此处介绍的优化策略将性能提高了约2.5倍。