Distributed computing for the reconstruction of multi-terabyte tomographic X-ray imaging datasets

Tomographic datasets have continued to grow in size and volume along with camera technology and synchrotron brilliance. These larger datasets require new methods of distributing the reconstruction process on high-performance computing systems. Here we present a program for reconstructing large datasets, allowing the usage of either CPU- or GPU-powered clusters, and show the successful reconstruction of a 24000 pixel-wide dataset. This program is currently in use at the DanMAX beamline at the MAX IV synchrotron and is used as the default reconstruction method for all tomographic experiments at the beamline. Scans reconstructed with the presented pipeline have been published in multiple journals.