AI4EIC 2023 Annual Workshop

Session

AI/ML in Production, Distributed ML

30 Nov 2023, 14:00

Conveners

AI/ML in Production, Distributed ML

• David Lawrence (Jefferson Lab)
• Rui Zhang (University of Wisconsin-Madison)

27. Machine learning as a service for HEP using cloud

Luca Giommi (University of Bologna)

30/11/2023, 14:00

28. Particle identification with machine learning from incomplete data in the ALICE experiment

Maja Karwowska (CERN, Warsaw U. of Tech.)

30/11/2023, 14:20

6. Scalable AI/ML Workflow Management Across Distributed Heterogeneous Resources With PanDA

Wen Guan (BNL)

30/11/2023, 14:40

The Production and Distributed Analysis (PanDA) system originating in LHC's ATLAS experiment has been steadily evolving upon a technical foundation of proven scalability and extensibility, extending in recent years to new experiments (Rubin Observatory, sPHENIX) and new capabilities in managing large scale, complex workflows across diverse geographically distributed resources. AI/ML has been a...

29. The Exa.TrkX Project

Xiangyang Ju (Lawrence Berkeley National Laboratory)

30/11/2023, 15:05

30. ATLAS data analysis using a parallelized workflow on distributed cloud-based services with GPUs

Jay Sandersara (CERN)

30/11/2023, 15:45

31. Online Track Reconstruction and Physics Analysis in CLAS12

Gagik Gavalian (Jefferson Lab)

30/11/2023, 16:10

32. MLaaS4HEP, Machine Learning for Columnar High Energy Physics Analysis

Elliott Kaufman (Princeton University)

30/11/2023, 16:30

33. Discussion

30/11/2023, 16:50