Sep 23–26, 2019
Luca Canali

Luca Canali
Data Engineer, CERN

Luca is a data engineer at CERN with the Hadoop, Spark, Streaming and database services. Luca has 18+ years of experience with architecting, deploying and supporting enterprise-level database and data services with a special interest in methods and tools for performance troubleshooting. Luca is involved in developing and supporting solutions for data analytics and ML for the CERN community, including LHC experiments, the accelerator sector and CERN IT and enjoys taking part and sharing results with the data community at large.

Sessions

3:45pm4:25pm Thursday, September 26, 2019
Location: 1A 06/07
Secondary topics:  Deep Learning
Sajan Govindan (Intel), Luca Canali (CERN)
We will show CERN’s research on applying Deep Learning in High Energy Physics experiments as an alternative to customized rule based methods with an example of topology classification to improve real-time event selection at the Large Hadron Collider experiments. CERN implemented deep learning pipelines on Apache Spark using BigDL and Analytics Zoo open source software on Intel Xeon-based clusters Read more.

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