SOSC 2023 Fifth International School on Open Science Cloud

Session

Lectures

23 Oct 2023, 09:00

INFN Perugia

Conveners

Lectures: Introduction

• There are no conveners in this block

Lectures: Fundamentals

• Diego Ciangottini (INFN Perugia)

Lectures: Fundamentals

• There are no conveners in this block

Lectures: Fundamentals

• There are no conveners in this block

Lectures: Tools for data handling and processing

• There are no conveners in this block

Lectures: Machine Learning

• There are no conveners in this block

Lectures: Machine Learning

• There are no conveners in this block

Lectures: Workflow Management

• There are no conveners in this block

Lectures: Continuing the hands-on

• There are no conveners in this block

Lectures: Wrap-up and closing session

• Daniele Spiga (Istituto Nazionale di Fisica Nucleare)

Presentation materials

ClosingSession 2023.pdf

88. Welcome and Introduction

Daniele Spiga (Istituto Nazionale di Fisica Nucleare)

23/10/2023, 09:00

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

90. How do I manage applications: Containers

Diego Ciangottini (INFN Perugia)

23/10/2023, 11:20

92. Exercises with containers

Diego Ciangottini (INFN Perugia)

23/10/2023, 14:20

94. Container Orchestration: a comprehensive overview

Diego Ciangottini (INFN Perugia)

24/10/2023, 09:00

95. How do I manage my data: Cloud Storage

Alessandro Costantini (Istituto Nazionale di Fisica Nucleare)

24/10/2023, 10:00

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

97. Quick intro to Message queue (NATS): how to publish and subscribe

Mirko Mariotti (Istituto Nazionale di Fisica Nucleare)

24/10/2023, 12:10

101. Machine Learning: Basics

Prof. Luca Scrucca (Università degli Studi di Perugia)

25/10/2023, 09:00

102. Machine Learning: Neural Networks

Prof. Luca Scrucca (Università degli Studi di Perugia)

25/10/2023, 10:00

103. Computer Vision with Deep Learning: Basics

Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)

25/10/2023, 11:10

104. Guided exercise: Out of memory with Dask

Lucio Anderlini (Istituto Nazionale di Fisica Nucleare)

25/10/2023, 12:10

110. Pipeline composition via MLFlow: Connecting the dots

Tommaso Tedeschi (Università e INFN Perugia)

26/10/2023, 11:10

108. Distributed Computing. Batch and interactive data processing

Daniele Spiga (Istituto Nazionale di Fisica Nucleare)

109. From Local Dask to Distribueted Dask

Tommaso Tedeschi (Università e INFN Perugia)