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About

Part 1: Utilizing Shared Resources

Part 2: Research Software Engineering

1. Computational Project
2. Introduction to Version Control
3. Project Documentation
4. Extended Documentation
5. Managing Data
6. Code Structure
7. Environments 1.0
8. ✏️ Project Exercise 1 ✏️
9. Primer on Software Development
10. ✏️ Project Exercise 2 ✏️
11. Software Development Strategies
12. Refactoring
- 12.1. Definition
13. Notes on Python
14. Primer On Parallelism
- 14.1. Primer on Parallelism
- 14.2. Parallelism in Python
15. ✏️ Project Exercise 3 ✏️
16. Environments 2.0
17. 📝 Project Homework 📝

Part 3: Recap; Containers, Clouds & Objects

1. Recap: Last Week
2. Recap: exoHelloWorld
3. Apptainer Runtime Guide
- 3.1. run vs exec vs shell
4. Suggested container definition
5. Containers for SoC projects
- 5.1. Environment Management
- 5.2. Concern Substitution
6. CI/CD Build
7. Fetching a Container at Runtime
8. The UZH Science Cloud
9. Ansible Detour
- 9.1. Getting Started with Ansible
- 9.2. One Shot Config
10. Swift Object Storage

Part 4: Cluster - Workflow & Profiling

1. Recap: HPC Clusters
2. Containers for HPC
3. HPC Clusters at UZH
4. Login and Look Around
- 4.1. Helpful Commands
5. ✏️ Exercise 1 ✏️
6. Latency and Throughput
- 6.1. Connection Fabric
- 6.2. GPU-NVMe Latency Comparison
7. Profiling
5. ✏️ Exercise 1 ✏️
8. 📝 Project Homework 📝
9. Q & A
10. Special Topics
- 10.1. Using Shared Memory (/dev/shm)

Outro

The HPC Cluster

1.1. The HPC Cluster#

By Jonas Liechti - https://github.com/j-i-l, Matteo Delucchi - https://github.com/matteodelucchi