Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
In person
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Beginner
Sector of the Target Audience
Research and Academia
HPC Profile of Target Audience
Application Users
Language of Instruction
Other Information
Organiser
Supporting Project(s)
EuroCC/CASTIEL
Event/Course Description
- Introduction to Machine Learning / TensorFlow (TBC) - TBC
In most (scientific) machine learning applications, (deep) neural networks are employed due to their flexible and expressive nature. Among others, TensorFlow is a standard framework and software library to simplify, speed-up and improve the usage of neural networks. In this training session you will learn the basics of Neural Networks and how to train them using TensorFlow and Keras.
- HPC program portability - Olivier Mattelaer (UCLouvain/CISM)
Singularity is a container solution for HPC. Containers help with reproducibility as they nicely package software and data dependencies, along with libraries that are needed. It allows users to install and run software that required root access to be installed on clusters where they only have regular user permissions. The rationale is to perform all the software installation in a container image (a kind of lightweight virtual machine, that can use a different Linux distribution than the one on the compute nodes!) on a machine where you have root access and then transfer and run that image on the machine on which you do not have root access. Images can be built from recipes shared by others, and from recipes made for Docker, the leader container solution outside the HPC world.
- Introduction to BigData tools - Michael Waumans (ULB)High-performance compute and BigData are two disciplines that used to be higly compartmented, but are not anymore. More and more HPC users get interested in BigData software, and more and more BigData users get interested in HPC hardware. This session will broadly present the tools and concepts associated with BigData and explain how they can be used in the CÉCI context.