SHARP: a distributed, GPU-based ptychographic solver

TL;DR

SHARP is a GPU-accelerated software environment that enables real-time, high-throughput ptychographic imaging, leveraging advanced algorithms and parallel architectures to improve resolution and speed for diffraction-limited light sources.

Contribution

The paper introduces SHARP, a CUDA-based software platform that significantly accelerates ptychographic reconstructions using distributed GPU computing, facilitating real-time imaging.

Findings

Achieves high-throughput ptychography reconstructions.

Enables real-time imaging at wavelength-limited resolution.

Provides a scalable, GPU-based computational framework.

Abstract

Ever brighter light sources, fast parallel detectors, and advances in phase retrieval methods, have made ptychography a practical and popular imaging technique. Compared to previous techniques, ptychography provides superior robustness and resolution at the expense of more advanced and time consuming data analysis. By taking advantage of massively parallel architectures, high-throughput processing can expedite this analysis and provide microscopists with immediate feedback. These advances allow real-time imaging at wavelength limited resolution, coupled with a large field of view. Here, we introduce a set of algorithmic and computational methodologies used at the Advanced Light Source, and DOE light sources packaged as a CUDA based software environment named SHARP (http://camera.lbl.gov/sharp), aimed at providing state-of-the-art high-throughput ptychography reconstructions for the coming era of diffraction limited light sources.