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16:30
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Welcome and introduction
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16:35
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Development of BioDynaMo Notebook Service
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Berina Bandic
(International Burch University)
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16:42
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Service Level Objectives : What's working and what's not?
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Felipe Bastos
(Federal University of Pará (UFPA))
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16:49
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HEP Analysis workloads for the benchmarking suite
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Dominika Kankowska
(Gdańsk University of Technology)
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16:56
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Deep learning for 40 MHz scouting with Level-1 trigger muons for CMS at LHC run-3
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Maria Popa
(Babes Bolyai University, Cluj Napoca, Romania)
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17:03
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Exploring hybrid quantum-classical neural networks for particle tracking
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Carla Rieger
(ETH Zurich)
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17:10
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Deep Learning for disaster relief: generating synthetic high resolution images
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Surendrabikram Thapa
(Delhi Technological University)
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17:17
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Estimating Support Size of Generative models for High Energy Physics
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Kristina Jaruskova
(Czech Technical University in Prague)
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17:24
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Pre-processing for Anomaly Detection on Linear Accelerator
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Martin Molan
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17:31
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Using Intel oneAPI for Reconstruction algorithms
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Laura Capelli
(Alma Mater Studiorum, Università di Bologna)
Viola Cavallini
(University of Ferrara, Italy)
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17:41
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Anomaly Detection with Spiking Neural Networks
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Bartłomiej Borzyszkowski
(Gdańsk University of Technology)
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17:48
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Intel oneAPI Integration Tests With the ATLAS Offline Software
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Angéla Czirkos
(Eötvös Loránd University, Budapest)
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17:56
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Heterogeneous computing for Deep Learning: deploying generative models via Intel OneAPI
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Silke Donayre
(Karlsruhe Institute of Technology)
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18:03
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Inference engine for custom neural networks with oneAPI
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Marcin Swiniarski
(Gdańsk University of Technology, Poland)
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18:10
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Wrap up
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