D0 Data Handling Operational Experience
A. Baranovski, C. Brock, D. Bonham, L. Carpenter, L. Lueking, W. Merritt, C. Moore, I. Terekhov, J. Trumbo, S. Veseli, J. Weigand, S. White, K. Yip
Abstract
We report on the production experience of the D0 experiment at the Fermilab Tevatron, using the SAM data handling system with a variety of computing hardware configurations, batch systems, and mass storage strategies. We have stored more than 300 TB of data in the Fermilab Enstore mass storage system. We deliver data through this system at an average rate of more than 2 TB/day to analysis programs, with a substantial multiplication factor in the consumed data through intelligent cache management. We handle more than 1.7 Million files in this system and provide data delivery to user jobs at Fermilab on four types of systems: a reconstruction farm, a large SMP system, a Linux batch cluster, and a Linux desktop cluster. In addition, we import simulation data generated at 6 sites worldwide, and deliver data to jobs at many more sites. We describe the scope of the data handling deployment worldwide, the operational experience with this system, and the feedback of that experience.
Create a lesson
Related papers
GC-MoE: Overlapping Expert-Parallel Token Dispatch with FP8/FP4 Grouped GEMM via CUDA Green Contexts
Yong Li, Kan Liu, Tao Lan
When the Consumer Is an Agent: Execution-Grounded Service-Level Agreements
Michal Orzechowski, Renata G. Slota, Jacek Kitowski
PhotonZip: Lifecycle-Aware Compression for HDF5-Based Synchrotron Workflows
Haoxu Li, Wenjing Huang, Chengyu Liu et al.
EpiLoRA: Fusing Many LoRA Adapters into Low-Precision GEMMs for Serving and RL
Hieu Tran, Hong Yu
INSIGHT-HPC: An Interpretable System Intelligence for Global HPC Telemetry
Rupak Kadel, Jie Li, Yong Chen
DynSL: Resource-Adaptive Model Training across Heterogeneous Edge Devices
Boris Radovič, Istemi Ekin Akkus, Marco Canini et al.