SOPT: Sparse optimisation

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SOPT provides functionality to perform sparse optimisation using state-of-the-art convex optimisation algorithms.

SOPT is higly parallelised and distributed and run efficiently on large computing clusters, with many CPU or GPU cores on each node. SOPT can therefore be applied to very large data-sets.

The SOPT code provides the core optimisation algorithms used in our radio interferometric imaging package PURIFY.

Version 1.0 of PURIFY and SOPT was implemented by Rafael Carrillo and Jason McEwen, in collaboaration with Yves Wiaux. PURIFY was then completely redesigned and reimplemented at UCL, in collaboration with UCL’s Research Development Software Group. Development of version 2.0 and onwards has been led by Jason McEwen and developed exclusively at UCL.

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Publications

Sparse image reconstruction for the SPIDER optical interferometric telescope

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$w$-stacking $w$-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements

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Distributed and parallel sparse convex optimization for radio interferometry with PURIFY

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Load balancing for distributed interferometric image reconstruction

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A fast and exact $w$-stacking and $w$-projection hybrid algorithm for wide-field interferometric imaging

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Wide-field interferometric imaging via distributed sparse image reconstruction

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Robust sparse image reconstruction of radio interferometric observations with PURIFY

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PURIFYing real radio interferometric observations

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A randomised primal-dual algorithm for distributed radio-interferometric imaging

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Scalable splitting algorithms for big-data interferometric imaging in the SKA era

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Why CLEAN when you can PURIFY? A new approach for next-generation radio interferometric imaging

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PURIFY: a new algorithmic framework for next-generation radio-interferometric imaging

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PURIFY: a new approach to radio-interferometric imaging

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On sparsity averaging

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Sparsity averaging for compressive imaging

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Sparsity averaging for radio interferometric imaging

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Sparsity Averaging Reweighted Analysis (SARA): a novel algorithm for radio-interferometric imaging

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Talks

Learned Exascale Computational Imaging (LEXCI)

Oct 2024 Leicester
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Towards learned exascale computational imaging for the SKA

Sep 2024 Virtual
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Learned Exascale Computational Imaging (LEXCI): Update

Oct 2023 Bristol
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Learned Exascale Computational Imaging (LEXCI)

May 2023 University of Leicester
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Learned Exascale Computational Imaging (LEXCI) overview

Jul 2022 Met Office
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Learned Exascale Computational Imaging (LEXCI) overview

Apr 2022 UCL
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