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While submission of CMS user jobs to the Global Pool is mostly managed by CRAB3, the standard analysis workflow management tool, the generation of matrix elements for high energy physics processes via Madgraph5_aMC@NLO and the usage of machine learning tools with GPU resources are independent use-cases that require special adaptation in order to take advantage of the Global Pool resources. This work describes the challenges and efforts performed towards adapting such workflows for it.

Producing Madgraph5_aMC@NLO gridpacks and using TensorFlow GPU resources in the CMS HTCondor Global Pool