We present a new algorithm to perform wide-field radio interferometric image reconstruction, with exact non-coplanar correction, that scales to big-data. This algorithm allows us to image 2 billion visibilities on 50 nodes of a computing cluster for a 25 by 25 degree field of view, in a little over an hour. We build on the recently developed distributed w-stacking w-projection hybrid algorithm, extending it to include a new distributed degridding algorithm that balances the computational load of the w-projection gridding kernels. The implementation of our algorithm is made publicly available in the PURIFY software package. Wide-field image reconstruction for data sets of this size cannot be performed effectively using the allocated computational resources without computational load balancing, demonstrating that our algorithms are critical for next-generation wide-field radio interferometers.
@article{arxiv.1903.07621,
title = {Load balancing for distributed interferometric image reconstruction},
author = {Luke Pratley and Jason D. McEwen},
journal= {arXiv preprint arXiv:1903.07621},
year = {2019}
}