Preliminary comments
Core book
1.
Chapter 1: High Performance Computing (HPC)
1.1.
Introduction to Uninett Sigma2
1.2.
Navigating in Sigma2
1.3.
Job scripts
2.
Chapter 2: Containers
2.1.
Walk through Singularity
2.2.
Using Singularity
3.
Chapter 3: File management on HPC clusters
3.1.
Copying files over to HPC clusters
3.2.
Using filesystem
4.
Chapter 4: Case study
4.1.
Setting up the environment
4.2.
Training model locally
4.3.
Training model on SIGMA2
5.
Chapter 5: Advanced topics
5.1.
Parallelising the workflow
5.2.
Ray tune
6.
Aknowledgments
Vocabulary
7.
List of acronyns
Appendix
8.
Appendix A: list of referenced softwares & services
Light (default)
Rust
Coal
Navy
Ayu
Documentation on using HPC and containers for Machine Learning
Chapter 5: Advanced topics