Load balancing for distributed interferometric image reconstruction

Luke Pratley; Jason D. McEwen

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arXiv · 1903.07621

Load balancing for distributed interferometric image reconstruction

Luke Pratley·Jason D. McEwen

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Abstract

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.

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BibTeX RIS

Luke Pratley, Jason D. McEwen. 2019-03-18. Load balancing for distributed interferometric image reconstruction. https://arxiv.org/abs/1903.07621

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