Summary and Schedule
This is a new lesson built with The Carpentries Workbench.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. Why sustainable digital research matters |
What are the “net zero” goals? What is digital research? Why is minimising “carbon to science” important? |
| Duration: 00h 20m | 2. Energy, power and carbon |
What is energy? What is power? How power and energy relate to carbon emissions? What other sources of carbon involve digital research? How do we calculate carbon emissions? |
| Duration: 01h 00m | 3. Digital research activities with sustainability issues |
What digital research activities can have sustainability issues? How do different types of data storage (local vs cloud) contribute to carbon emissions? What factors influence the energy and power consumption of digital research workflows? |
| Duration: 02h 00m | 4. Case Study 1 - Researcher | What are the sustainability considerations related to research software development? |
| Duration: 02h 30m | 5. Case Study 2 - Lab Scientist doing computational work |
How does the increasing use of LLMs affect carbon foorprint and energy
efficiency? What strategies can minimise the carbon footprint of research data storage? How does relying on old hardware prevent a modern research lab from being energy efficient? |
| Duration: 02h 44m | 6. Case Study 3 - HPC User | What are the sustainability considerations related to High Performance Computing? |
| Duration: 03h 14m | 7. Case Study 4 - GPU Computing User |
What are the sustainability considerations related to using
heterogeneous computing architectures, including graphical processing units (GPU), tensor cores and other alternative hardware? What are the practical implications for their use in machine learning and general single instruction multiple data (SIMD) computations? |
| Duration: 03h 44m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
FIXME: Setup instructions live in this document. Please specify the tools and the data sets the Learner needs to have installed.