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CERN openlab online summer intern project presentations

24 September 2020
Zoom
Europe/Zurich timezone

Contribution List

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  1. 1. Welcome and introduction
    24/09/2020, 16:30
  2. 2. Development of BioDynaMo Notebook Service
    Berina Bandic (International Burch University)
    24/09/2020, 16:35
  3. 3. Service Level Objectives : What's working and what's not?
    Felipe Bastos (Federal University of Pará (UFPA))
    24/09/2020, 16:42

    The constant evolution of the IT technologies brings possibility of providing new services which also contributes to the increased expectations regarding their functionality and reliability. This results in a constant race of delivering new features whilst aiming to keep the services as reliable as possible and triggers one fundamental question: “How do we know that our service is still good...

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  4. 4. HEP Analysis workloads for the benchmarking suite
    Dominika Kankowska (Gdańsk University of Technology)
    24/09/2020, 16:49
  5. 5. Deep learning for 40 MHz scouting with Level-1 trigger muons for CMS at LHC run-3
    Maria Popa (Babes Bolyai University, Cluj Napoca, Romania)
    24/09/2020, 16:56

    Project Description: CMS will include a new paradigm for the Level 1 Trigger at CMS run 3. This is the approach of reading out trigger objects at the full collision rate (40 MHz), in order to perform studies and take measurements not possible with the constraints of the allowed 100 KHz Level 1 rate. One such set of trigger objects are the Global Muon Trigger objects. The Global Muon Trigger...

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  6. 6. Exploring hybrid quantum-classical neural networks for particle tracking
    Carla Rieger (ETH Zurich)
    24/09/2020, 17:03
  7. 7. Deep Learning for disaster relief: generating synthetic high resolution images
    Surendrabikram Thapa (Delhi Technological University)
    24/09/2020, 17:10
  8. 14. Estimating Support Size of Generative models for High Energy Physics
    Kristina Jaruskova (Czech Technical University in Prague)
    24/09/2020, 17:17
  9. 17. Pre-processing for Anomaly Detection on Linear Accelerator
    Martin Molan
    24/09/2020, 17:24
  10. 8. Using Intel oneAPI for Reconstruction algorithms
    Laura Capelli (Alma Mater Studiorum, Università di Bologna), Viola Cavallini (University of Ferrara, Italy)
    24/09/2020, 17:31
  11. 9. Anomaly Detection with Spiking Neural Networks
    Bartłomiej Borzyszkowski (Gdańsk University of Technology)
    24/09/2020, 17:41

    The detection of gravitational waves (GW) from stellar binaries such as black hole and neutron star mergers have ushered in a new era of analyzing the universe. With this, the Laser Interferometer Gravitational-wave Observatory (LIGO) can peer into deep space giving astronomers the ability to uncover hidden stellar processes. Instrumental on the software side of these observations are the...

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  12. 10. Intel oneAPI Integration Tests With the ATLAS Offline Software
    Angéla Czirkos (Eötvös Loránd University, Budapest)
    24/09/2020, 17:48
  13. 15. Heterogeneous computing for Deep Learning: deploying generative models via Intel OneAPI
    Silke Donayre (Karlsruhe Institute of Technology)
    24/09/2020, 17:56
  14. 12. Inference engine for custom neural networks with oneAPI
    Marcin Swiniarski (Gdańsk University of Technology, Poland)
    24/09/2020, 18:03
  15. 13. Wrap up
    24/09/2020, 18:10
  16. 11. CMS Hadronic and Electromagnetic Calorimeters Reconstruction with oneAPI
    Viola Cavallini (University of Ferrara, Italy)
  17. 16. Deep learning for 40 MHz scouting with Global Muon Trigger objects for CMS at LHC run 3
    Marija Milutinović (University of Belgrade, School of Electrical Engineering)