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Running GPU-enabled CMSSW workflows through the production system

The CMS experiment at CERN accelerates several stages of its online reconstruction by making use of GPU resources at its High Level Trigger (HLT) farm for LHC Run 3. Additionally, during the past years, computing resources available to the experiment for performing offline reconstruction, such as Ti...

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Detalles Bibliográficos
Autor principal: Koraka, Charis Kleio
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2872287
Descripción
Sumario:The CMS experiment at CERN accelerates several stages of its online reconstruction by making use of GPU resources at its High Level Trigger (HLT) farm for LHC Run 3. Additionally, during the past years, computing resources available to the experiment for performing offline reconstruction, such as Tier-1 and Tier-2 sites, have also started to integrate accelerators into their systems. In order to make efficient use of these heterogeneous platforms, it is essential to adapt both the CMS production system and the CMSSW reconstruction code to make use of GPUs. Ths CMSSW offline reconstruction can now partially run on GPUs, inheriting from the work done at the HLT. Parts of the production systems infrastructure have also been adapted to successfully map, schedule and run the available GPU-enabled workflows on different sites across the computing grid. This talk will describe the process of commissioning GPU-enabled CMSSW workflows through the production system and will present first results from the deployment of GPU-enabled offline reconstruction workflows.