Keynote: The HPC challenge of radio astronomy

About

Radio astronomers are engaged in an ambitious new project to detect faster, fainter, and more distant astrophysical phenomena using thousands of individual radio receivers linked through interferometry. The expected deluge of data (up to 300 PB per year) poses a significant computational challenge that requires rethinking and redesigning the state-of-the-art data analysis pipelines. In this talk we present an overview of the Square Kilometer Array Observatory, the HPC challenges, and solutions using physics-informed machine learning.

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