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 and deployment strategies, and explore future directions for integrating compression into end-to-end data workflows.
We are still accepting abstracts. Topics may include, but are not limited to:
- Compression requirements and facility use cases
- Lossless, lossy, and AI-based compression methods
- Compression software and high-performance implementations
- Compression quality, scientific fidelity, and benchmarking
- Integration into data acquisition and processing workflows
- Deployment and operational experience
Yu Hu (huyu@ihep.ac.cn) is organizing this half-day workshop.
