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NVIDIA cuPhoton is now available on GitHub 🔭 Working with data from telescopes, X-ray sources and laser experiments often means spending months or years just getting the data ready to use. cuPhoton moves that pipeline onto the GPU to speed up that process, from ingest and cleaning to analysis,...

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254,976 просмотров • 1 месяц назад •via X (Twitter)

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🌌 20 Terabytes of data. That's what the Rubin Observatory captures every night to map dark matter — but traditional processing takes months. By leveraging CPU/GPU-accelerated pipelines on multi-GPU, multi-node systems, NVIDIA cuPhoton accelerates image loading by 15,000x and processing by 8,400x, turning months of waiting into minutes. #ISC26
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