ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs

Sandesara, Jay; Coelho Lopes de Sa, Rafael; Martinez Outschoorn, Verena; Barreiro Megino, Fernando; Elmsheuser, Johannes; Klimentov, Alexei

doi:10.1051/epjconf/202429504007

DOE OSTI · 2429532

ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs

Sandesara, Jay·Coelho Lopes de Sa, Rafael·Martinez Outschoorn, Verena·Barreiro Megino, Fernando·Elmsheuser, Johannes·Klimentov, Alexei

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Abstract

A new type of parallel workflow is developed for the ATLAS experiment at the Large Hadron Collider, that makes use of distributed computing combined with a cloud-based infrastructure. This has been developed for a specific type of analysis using ATLAS data, one popularly referred to as Simulation-Based Inference (SBI). The JAX library is used for the parts of the workflow to compute gradients as well as accelerate program execution using just-in-time compilation, which becomes essential in a full SBI analysis and can also offer significant speed-ups in more traditional types of analysis.

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BibTeX RIS

Sandesara, Jay, Coelho Lopes de Sa, Rafael, Martinez Outschoorn, Verena, Barreiro Megino, Fernando, Elmsheuser, Johannes, Klimentov, Alexei. 2024-05-06. ATLAS Data Analysis using a Parallel Workflow on Distributed Cloud-based Services with GPUs. https://doi.org/10.1051/epjconf%2F202429504007

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