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SOSC 2023 Fifth International School on Open Science Cloud

23–27 Oct 2023
INFN Perugia
Europe/Rome timezone

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Contribution List

28 out of 28 displayed
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  1. 88. Welcome and Introduction
    Daniele Spiga (Istituto Nazionale di Fisica Nucleare)
    23/10/2023, 09:00
  2. 89. Dark matter and neutrino study with CYGNO: Computing model and data handling
    Giovanni Mazzitelli (Istituto Nazionale di Fisica Nucleare)
    23/10/2023, 09:30
  3. 90. How do I manage applications: Containers
    Diego Ciangottini (INFN Perugia)
    23/10/2023, 11:20
  4. 92. Exercises with containers
    Diego Ciangottini (INFN Perugia)
    23/10/2023, 14:20
  5. 93. Introduction to the project: Working with image data
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    23/10/2023, 15:20
  6. 91. Introduction to the project: Working with image data
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    23/10/2023, 16:40
  7. 94. Container Orchestration: a comprehensive overview
    Diego Ciangottini (INFN Perugia)
    24/10/2023, 09:00
  8. 95. How do I manage my data: Cloud Storage
    Alessandro Costantini (Istituto Nazionale di Fisica Nucleare)
    24/10/2023, 10:00
  9. 96. Cloud Storage in practice. Guided exercise on storage: read and wrirte data
    Alessandro Costantini (Istituto Nazionale di Fisica Nucleare)
    24/10/2023, 11:10
  10. 97. Quick intro to Message queue (NATS): how to publish and subscribe
    Mirko Mariotti (Istituto Nazionale di Fisica Nucleare)
    24/10/2023, 12:10
  11. 98. Dask data processing: What, Why and When
    Tommaso Tedeschi (Università e INFN Perugia)
    24/10/2023, 14:20
  12. 99. Student project
    24/10/2023, 15:20
  13. 100. Student Project
    24/10/2023, 16:50
  14. 101. Machine Learning: Basics
    Prof. Luca Scrucca (Università degli Studi di Perugia)
    25/10/2023, 09:00
  15. 102. Machine Learning: Neural Networks
    Prof. Luca Scrucca (Università degli Studi di Perugia)
    25/10/2023, 10:00
  16. 103. Computer Vision with Deep Learning: Basics
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    25/10/2023, 11:10
  17. 104. Guided exercise: Out of memory with Dask
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    25/10/2023, 12:10
  18. 105. Hands-on: OOM Deep Learning on MNIST
    Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)
    25/10/2023, 14:20
  19. 106. Student Project
    25/10/2023, 15:20
  20. 107. Student Project
    25/10/2023, 16:40
  21. 110. Pipeline composition via MLFlow: Connecting the dots
    Tommaso Tedeschi (Università e INFN Perugia)
    26/10/2023, 11:10
  22. 111. Guided Execise on: Building your pipeline with workflow automation
    Diego Ciangottini (INFN Perugia)
    26/10/2023, 14:20
  23. 112. Student Project
    26/10/2023, 15:20
  24. 113. Student Project
    26/10/2023, 16:40
  25. 114. From Local Dask to Distribueted Dask
    Tommaso Tedeschi (Università e INFN Perugia)
    27/10/2023, 09:00
  26. 115. Time for survey
    27/10/2023, 10:00
  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)