NeSI know-how webinar 3: What to know about GPUs

New Zealand eScience Infrastructure(NeSI) designs, builds, and operates a shared national platform of advanced computing resources and data services. All researchers in Aotearoa New Zealand have access to NeSI’s platforms. Through NeSI, researchers can access high-capacity CPUs, GPUs and high memory nodes; tailored software environments; expertise in research software and data science engineering; and skills training in computational  tools and approaches. NeSI enables researchers to investigate large, unique, or complex projects more easily, quickly, and accurately.  To learn more, get in touch: info@nesi.org.nz.

New Zealand eScience Infrastructure (NeSI)

What are GPUs and how can you leverage them for your work on NeSI

<p>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. </p><p>Specifically, webinar attendees can expect to learn:</p><ul><li>Different ways of programming GPUs - toolboxes, APIs, libraries, and more,</li><li>Which kinds of GPUs does NeSI offer (P100 and A100) and what is the difference between them, and</li><li>How to get access to GPUS on NeSI - allocations and Slurm submission scripts</li></ul><p>Want to know more about what is possible with GPUs? Check out the NeSI case study <a href="https://www.nesi.org.nz/case-studies/using-gpus-expand-our-understanding-solar-system" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Using GPUs to expand our understanding of the Solar System</a></p><h2>What are GPUs?</h2><p>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.  </p><p>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&#x27;s perspective, the application runs faster because it&#x27;s using the massively parallel processing power of the GPU to boost performance. This is known as &quot;heterogeneous&quot; or &quot;hybrid&quot; computing.  </p><h2>Prerequisites</h2><p>There are no prerequisites for this webinar. postgraduates, established researchers, and anyone in between are encouraged to attend. </p><h2>More Information</h2><p>If you have any questions or would like more information about this session, please email training@nesi.org.nz.</p><p>Additionally, consider <a href="http://eepurl.com/grV9if" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">subscribing to the NeSI training mailing list</a> to stay updated about future training opportunities.</p>

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NeSI know-how webinar 3: What to know about GPUs

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