Speaker
Description
The HL-LHC era and associated increase in data volume and processing requirements has led to many re-evaluations and discussions on how the computing systems supporting high energy physics should be architected. This presentation summarizes work done by U.S. CMS in recent years to develop its mid- to long-term infrastructure strategy based on task force work conducted in 2024-2025.
This talk describes a transition from the current proportionally scaled Tier1/2 resource model to one in which stateful storage is increasingly centralized at the Tier-1 while Tier-2 sites primarily deploy CPU and GPU resources. This shift in approach addresses current facility constraints at Fermilab, improves overall storage availability, and increases the flexibility of how university sites can contribute resources.
Also discussed will be the continued development and refinement of Analysis Facility resources and their role in reducing latency and improving throughput for HL-LHC scale analysis. Impacts of AI/ML workflows on infrastructure design and operational costs are additionally considered. The evolving role of HPC centers and possible integration of large-scale DOE computing resources will round out the strategy discussed.
| Desired slot length | 20 |
|---|---|
| Speaker release | Yes |