HPC resources for CMS offline computing: An integration and scalability challenge for the Submission Infrastructure
Antonio Perez-Calero Yzquierdo, Marco Mascheroni, Edita Kizinevic,, Farrukh Aftab Khan, Hyunwoo Kim, Maria Acosta Flechas, Nikos Tsipinakis and, Saqib Haleem

TL;DR
This paper discusses integrating HPC resources into the CMS offline computing infrastructure to address future scalability challenges posed by increasing computational demands and resource diversity at the LHC.
Contribution
It presents the integration approach of HPC resources into CMS computing and reports scalability testing results to ensure future infrastructure growth.
Findings
Successful integration of HPC resources into CMS infrastructure.
Scalability tests indicate the potential to support future computing demands.
Identified challenges in maintaining flexibility and efficiency at larger scales.
Abstract
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as High Performance Computing (HPC) and Cloud resources will provide a comparable, or even dominant, fraction of the total compute capacity. The future years present a challenge for the experiments' resource provisioning models, both in terms of scalability and increasing complexity. The CMS Submission Infrastructure (SI) provisions computing resources for CMS workflows. This infrastructure is built on a set of federated HTCondor pools, currently aggregating 400k CPU cores distributed worldwide and supporting the simultaneous execution of over 200k computing tasks. Incorporating HPC resources into CMS computing represents firstly an integration challenge, as HPC centers are much more diverse…
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