The ATLAS experiment at CERN with PanDA

Wednesday, October 17, 2018, 1:00 pm PDTiCal
6th floor large conference room #689
This event is open to the public.
Scientific Computing Seminar
Pavlo Svirin, CERN
Video Recording:

The ATLAS experiment at CERN uses PanDA (Production and Data Analysis) Workload Management System for managing the workflow for all data processing on over 150 data centers. Through PanDA, ATLAS physicists see a single computing facility that enables rapid scientific breakthroughs for the experiment, even though the data centers are physically scattered all over the world. While PanDA currently uses more than 250,000 cores with a peak performance of 0.3 petaFLOPS, it runs around 2 million jobs per day on hundreds of Grid sites and serving thousands of ATLAS users. In 2017 about 1.5 exabytes of data were processed with PanDA. In 2012 BigPanDA project was started with aim to introduce new types of computing resources into ATLAS computing infrastructure, but also to provide PanDA features to different data-intensive applications for projects and experiments outside of ATLAS and High-Energy and Nuclear Physics. In this talk, we will present accomplishments in PanDA development and discuss possible directions for future work.

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