Description
The rapid evolution of beamline instrumentation and high-throughput detectors at advanced photon and neutron facilities is driving data production to unprecedented scales, creating urgent challenges for storage, data movement, and both real-time and offline processing. In this context, data compression is emerging as a key enabling technology for sustainable and efficient scientific workflows.
This satellite meeting will bring together scientists, software developers, and data management experts to share practical experience with compression methods, discuss real experimental requirements, deployment strategies, and explore future directions for integrating compression into end-to-end data workflows.
Please feel free to contact us with any questions or proposals for topics you would like to present or discuss at the workshop.
Contact details: Yu Hu(huyu@ihep.ac.cn)
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Fazhi Qi (Institute of High Energy Physics, Chinese Academy of Sciences)25/09/2026, 09:00
Scientific data compression has become a critical component in large-scale computing and experimental facilities, where data volumes increasingly outpace storage capacity and I/O bandwidth. This report surveys recent advances and the current state of the field. We review the evolution of error-bounded lossy compression algorithms, including SZ, ZFP, and MGARD, with emphasis on their extended...
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