Chips & deep tech · Official
NVIDIA Speeds Up Black Hole Telescope Data Processing With GPUs
NVIDIA Technical blog ·
At a glance
NVIDIA's cuPhoton.xBeam is a tool that uses GPUs to process radio telescope data used to image black holes. It handled 10 TB of data in 70 seconds, about 460 times faster than a CPU-based method that took 31,992 seconds.
Key points
- It runs correlation, the step that compares signals from pairs of telescopes, on GPUs.
- Observation time can be split across multiple GPUs or servers to speed up processing.
- AI agents can automate the whole workflow, from reading data and setting up jobs to running and checking them.
Why it matters
Black hole images are built from huge amounts of radio data. Faster processing could allow scientists to observe changes around black holes more often.
Original source
Run GPU-Powered Black Hole Interferometry with NVIDIA cuPhoton
NVIDIA Technical blog · Nov 14, 06:17 KST
Read on NVIDIA Technical blog ↗AI summarized the original article. Check the original for accuracy. Copyright belongs to NVIDIA Technical blog.
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