HPC and GPU accelerated imaging toward the SKA era

Claudio Gheller; Giovanni Lacopo; Emanuele De Rubeis; Giuliano Taffoni; Luca Tornatore

doi:10.1117/12.3019055

25 July 2024 HPC and GPU accelerated imaging toward the SKA era

Claudio Gheller, Giovanni Lacopo, Emanuele De Rubeis, Giuliano Taffoni, Luca Tornatore

Author Affiliations +

Proceedings Volume 13101, Software and Cyberinfrastructure for Astronomy VIII; 131011H (2024) https://doi.org/10.1117/12.3019055
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Abstract

Radio astronomy is currently facing a significant challenge due to the massive data volumes generated by modern radio-interferometers, which will be further exacerbated by the upcoming Square Kilometre Array. Efficient data processing at this scale necessitates advanced High-Performance Computing (HPC) resources. Our work focuses on developing a novel approach to implement the w-stacking algorithm on state-of-the-art HPC systems, specifically targeting heterogeneous architectures comprising both CPUs and GPUs. We introduce the RICK (Radio Imaging Code Kernels) code, designed to efficiently process radio-interferometric data by leveraging the parallelism and computational power of modern HPC nodes. This study demonstrates the effectiveness of RICK on a single computing node, showcasing significant performance improvements over traditional methods. The paper outlines the methodology, the algorithmic innovations, and the parallelization strategy, along with performance benchmarks on various CPU/GPU configurations, highlighting the potential of RICK for future large-scale radio astronomy projects.

Conference Presentation

Citation Download Citation

Claudio Gheller, Giovanni Lacopo, Emanuele De Rubeis, Giuliano Taffoni, and Luca Tornatore "HPC and GPU accelerated imaging toward the SKA era", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131011H (25 July 2024); https://doi.org/10.1117/12.3019055

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