October 12, 2021
Los Angeles, California + Virtual
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IMPORTANT NOTE: Timing of sessions and room locations are subject to change through Monday, September 13 due to schedule changes that will be made as speakers finalize whether speaking in person or virtually.
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Tuesday, October 12 • 2:55pm - 3:25pm
A Better and More Efficient ML Experience for CERN Users - Ricardo Rocha & Dejan Golubovic, CERN

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Experiments at CERN such as the Large Hadron Collider (LHC) generate petabytes of new data every year, to be stored and analyzed by thousands of physicists around the world. In just a couple years, an upgrade to the LHC will trigger a 10x increase in the amount of data posing a challenge to the existing infrastructure. This session covers how machine learning has been gaining momentum in the high energy physics (HEP) community and particularly at CERN, as a viable option to handle the data growth with a similar amount of resources. The focus is on one particular service based on Kubeflow, and how we extend the existing functionality to offer our users a familiar and seamless integration with site services. How centralizing resources has improved our overall resource usage, how we extended existing functionality to manage end user tokens and credentials allowing access to on-premises storage, and how we explore tools like Harbor, Trivy, OPA and Falco to ensure a reproducible and secure flow from interactive analysis, to model training and finally serving.

avatar for Ricardo Rocha

Ricardo Rocha

Computing Engineer, CERN
Ricardo is a Computing Engineer in the CERN cloud team focusing on containerized deployments, networking and more recently machine learning platforms. He has pushed for several years the internal effort to transition services and workloads to use cloud native technologies, as well... Read More →
avatar for Dejan Golubovic

Dejan Golubovic

Junior Fellow, CERN
Dejan Golubovic is a CERN software engineer with experience in machine learning. His interests are containerized applications, Python programming, and large-scale distributed systems. Dejan is currently working on machine learning infrastructure with Kubernetes and Kubeflow at CERN... Read More →

Tuesday October 12, 2021 2:55pm - 3:25pm PDT
Room 502 AB + Online