Paper:	Accelerated Briggs Weighting Function on NVIDIA GPUs with CUDA
Volume:	541, ADASS XXXIII
Page:	253
Authors:	Gurjeet Jagwani; Karel Adámek; Wesley Armour
DOI:	10.26624/OJMO9589
Abstract:	Radio interferometric imaging requires weighting of the measured visibilities to produce images suitable for scientific analysis. Natural and Uniform weighting schemes are implemented to either minimise the effects of sidelobes (Uniform) or to decrease the system noise in the data (Natural). The Briggs weighting function provides a compromise between these two weighting schemes, using a robustness parameter. In this work we present an implementation of the Briggs weighting function with CUDA on NVIDIA GPUs, achieving at least 7× speedup without considering the duration required for loading a measurement set and around 3× speed up otherwise, on a NVIDIA GeForce RTX 3090 Ti compared to DDFacet on synthetic data with 16 threads on an Intel i9 processor.

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