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.
Zeng et al. (Tue,) studied this question.