| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01175 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/epjconf/202533701175 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701175
A RoCE-based network framework for science workloads in HEPS data center
Institute of High Energy Physics,CAS, Computing Center, 100049 Beijng, China
1 Corresponding author: zengshan@ihep.ac.cn
Published online: 7 October 2025
According to the estimated data rates, it is predicted that 800 TB raw experimental data will be produced per day from 14 beamlines at the first stage of the High-Energy Photon Source (HEPS) in China, and the data volume will be even greater with the completion of over 90 beamlines at the second stage in the future. Therefore, designing a high-performance, scalable network architecture plays a crucial role in the efficient output of scientific tasks. We designed a RoCE-based network framework for science workloads in HEPS data center, which provides high-performance network connectivity both between HPES Data Acquisition system(DAQ) and HEPS data center, and between the compute and storage system within the HEPS data center.
© The Authors, published by EDP Sciences, 2025
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