CMS software and computing for LHC Run 2
Kenneth Bloom

TL;DR
The paper describes improvements to CMS software and computing infrastructure for LHC Run 2, enhancing flexibility, efficiency, and scalability to handle increased data rates and future luminosity increases.
Contribution
It introduces a new distributed computing approach, a multi-threaded software framework, a compact analysis data format, and workflow automation enhancements for CMS during Run 2.
Findings
Successful handling of increased trigger rates and pileup interactions
Implementation of a multi-threaded framework on prompt reconstruction farms
Development of a smaller, flexible analysis data format (miniAOD)
Abstract
The CMS offline software and computing system has successfully met the challenge of LHC Run 2. In this presentation, we will discuss how the entire system was improved in anticipation of increased trigger output rate, increased rate of pileup interactions and the evolution of computing technology. The primary goals behind these changes was to increase the flexibility of computing facilities where ever possible, as to increase our operational efficiency, and to decrease the computing resources needed to accomplish the primary offline computing workflows. These changes have resulted in a new approach to distributed computing in CMS for Run 2 and for the future as the LHC luminosity should continue to increase. We will discuss changes and plans to our data federation, which was one of the key changes towards a more flexible computing model for Run 2. Our software framework and algorithms…
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