NeSI know-how webinar 3: What to know about GPUs
In this webinar Wolfgang Hayek, Research Software Engineer at NeSI, will explain what GPUs are and what type of research they are good for. It is a great session to attend if you are thinking about incorporating GPUs into your research workflow but need a bit more context.
Specifically, webinar attendees can expect to learn:
- Different ways of programming GPUs - toolboxes, APIs, libraries, and more,
- Which kinds of GPUs does NeSI offer (P100 and A100) and what is the difference between them, and
- How to get access to GPUS on NeSI - allocations and Slurm submission scripts
Want to know more about what is possible with GPUs? Check out the NeSI case study Using GPUs to expand our understanding of the Solar System
What are GPUs?
GPU computing is the use of a GPU (graphics processing unit) as a co-processor to accelerate CPUs for general-purpose scientific and engineering computing.
The GPU accelerates applications running on the CPU by offloading some of the compute-intensive and time consuming portions of the code. The rest of the application still runs on the CPU. From a user's perspective, the application runs faster because it's using the massively parallel processing power of the GPU to boost performance. This is known as "heterogeneous" or "hybrid" computing.
There are no prerequisites for this webinar. Postgraduates, established researchers, and anyone in between are encouraged to attend.
If you have any questions or would like more information about this session, please email firstname.lastname@example.org.
Additionally, consider subscribing to the NeSI training mailing list to stay updated about future training opportunities.