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SOSC 2023 Fifth International School on Open Science Cloud

Oct 23 – 27, 2023
INFN Perugia
Europe/Rome timezone

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Contribution List

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  1. 88. Welcome and Introduction
    Daniele Spiga (Istituto Nazionale di Fisica Nucleare)
    10/23/23, 9:00 AM
  2. 89. Dark matter and neutrino study with CYGNO: Computing model and data handling
    Giovanni Mazzitelli (Istituto Nazionale di Fisica Nucleare)
    10/23/23, 9:30 AM
  3. 90. How do I manage applications: Containers
    Diego Ciangottini (INFN Perugia)
    10/23/23, 11:20 AM
  4. 92. Exercises with containers
    Diego Ciangottini (INFN Perugia)
    10/23/23, 2:20 PM
  5. 93. Introduction to the project: Working with image data
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    10/23/23, 3:20 PM
  6. 91. Introduction to the project: Working with image data
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    10/23/23, 4:40 PM
  7. 94. Container Orchestration: a comprehensive overview
    Diego Ciangottini (INFN Perugia)
    10/24/23, 9:00 AM
  8. 95. How do I manage my data: Cloud Storage
    Alessandro Costantini (Istituto Nazionale di Fisica Nucleare)
    10/24/23, 10:00 AM
  9. 96. Cloud Storage in practice. Guided exercise on storage: read and wrirte data
    Alessandro Costantini (Istituto Nazionale di Fisica Nucleare)
    10/24/23, 11:10 AM
  10. 97. Quick intro to Message queue (NATS): how to publish and subscribe
    Mirko Mariotti (Istituto Nazionale di Fisica Nucleare)
    10/24/23, 12:10 PM
  11. 98. Dask data processing: What, Why and When
    Tommaso Tedeschi (Università e INFN Perugia)
    10/24/23, 2:20 PM
  12. 99. Student project
    10/24/23, 3:20 PM
  13. 100. Student Project
    10/24/23, 4:50 PM
  14. 101. Machine Learning: Basics
    Prof. Luca Scrucca (Università degli Studi di Perugia)
    10/25/23, 9:00 AM
  15. 102. Machine Learning: Neural Networks
    Prof. Luca Scrucca (Università degli Studi di Perugia)
    10/25/23, 10:00 AM
  16. 103. Computer Vision with Deep Learning: Basics
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    10/25/23, 11:10 AM
  17. 104. Guided exercise: Out of memory with Dask
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    10/25/23, 12:10 PM
  18. 105. Hands-on: OOM Deep Learning on MNIST
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    10/25/23, 2:20 PM
  19. 106. Student Project
    10/25/23, 3:20 PM
  20. 107. Student Project
    10/25/23, 4:40 PM
  21. 110. Pipeline composition via MLFlow: Connecting the dots
    Tommaso Tedeschi (Università e INFN Perugia)
    10/26/23, 11:10 AM
  22. 111. Guided Execise on: Building your pipeline with workflow automation
    Diego Ciangottini (INFN Perugia)
    10/26/23, 2:20 PM
  23. 112. Student Project
    10/26/23, 3:20 PM
  24. 113. Student Project
    10/26/23, 4:40 PM
  25. 114. From Local Dask to Distribueted Dask
    Tommaso Tedeschi (Università e INFN Perugia)
    10/27/23, 9:00 AM
  26. 115. Time for survey
    10/27/23, 10:00 AM
  27. 108. Distributed Computing. Batch and interactive data processing
    Daniele Spiga (Istituto Nazionale di Fisica Nucleare)
  28. 109. From Local Dask to Distribueted Dask
    Tommaso Tedeschi (Università e INFN Perugia)