GPU accelerated image quality assessment-based software for transient detection
Fast imaging localises celestial transients using source finders in the image domain. The need for high computational throughput in this process is driven by nextgeneration telescopes such as Square Kilometre Array (SKA), which, upon completion, will be the world’s largest aperture synthesis radio t...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
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Astronomical Society of the Pacific
2025
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| Summary: | Fast imaging localises celestial transients using source finders in the image domain. The need for high computational throughput in this process is driven by nextgeneration telescopes such as Square Kilometre Array (SKA), which, upon completion, will be the world’s largest aperture synthesis radio telescope. It will collect data
at unprecedented velocity and volume. Due to the vast amounts of data the SKA
will produce, current source finders based on source extraction may be inefficient in
a wide-field search. In this paper, we focus on the software development of GPUaccelerated transient finders based on Image Quality Assessment (IQA) methods —
Low-Information Similarity Index (LISI) and augmented LISI (augLISI). We accelerate
the algorithms using GPUs, achieving kernel time of approximately 0.1 milliseconds
for transient finding in 2048 × 2048 images. |
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