SUMMER SCHOOL PROGRAMME

 

MONDAY 23 SEPTEMBER 2019

 

Intro Slides

• EUDAT – PRACE Summer School on managing scientific data from analysis to long term archiving - part 1
• EUDAT – PRACE Summer School on managing scientific data from analysis to long term archiving - part 2
• EUDAT – PRACE Summer School on managing scientific data from analysis to long term archiving - part 3

 

 

Introducing the basics, from Linux fundamental commands to Python notation

• Intro to Python and HPC batch scheduler

 

Data Processing: HPC fundamentals

• Introduction to HPC
• Introduction to MPI
• Introduction to OpenMP
• PRACE Introduction
• PRACE Services

 

Data Processing: Computing Architectures

• Data Processing Computing architecture

 

TUESDAY 24 SEPTEMBER 2019

 

Data Analysis (Part I)

• Data Analysis (Part 1)

 

Data Analysis (Part II)

• Introduction to Keras TensorFlow

 

Data Analysis (Part III-IV)

• Introduction to Deep Learning

 

WEDNESDAY 25 SEPTEMBER 2019

 

Data Preservation (Part I)

• The Why, The What and the How

 

Data Preservation (Part II)

• Techniques, Traps and Processes

 

THURSDAY 26 SEPTEMBER 2019

 

Data Sharing & Publishing

• Demo: Publishing Data from B2DROP to B2SHARE
• Data Discovery and Reuse with EUDAT Services Introduction
• B2SHARE API hands-on
• Data Sharing and Publishing

 

Data Discovery

• How to find research data and make it searchable

 

Data Movement

• General concepts and specific tools

 

FRIDAY 27 SEPTEMBER 2019

 

Real Use Case Session (Part I)

• The ENES Climate Analytics Service

 

Real use case (Part II)

• A practical introduction to ECASLab and Ophidia for data analytics