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Supercomputing for AI (In-person only)
Sep 24 • 13:00 – 17:00 CEST
📍Hyperight Data Club Tegnergatan 14, 113 58 Stockholm, Sweden
Registrations will be accepted until the workshop starts, but the deadline to get a user account on the Dardel supercomputer is September 17.
About this workshop
During the Supercomputing for AI workshop, you will learn how to leverage supercomputers for AI applications. We start with a general background to the EuroHPC ecosystem. Then an overview of ENCCS services, and some inspirational success stories from Swedish companies. This will be followed by a hands-on session where everyone gets to experience and learn how HPC works, first the traditional way (ssh login, setting up a software environment, submitting batch jobs to the scheduler) and then the modern way using the ColonyOS meta-operating system. We round off with a plenary discussion to ask questions, share experiences, and discuss the pros and cons of HPC compared to other computing environments.
The event is organised by ENCCS, Stockholm AI, Hyperight and PDC at KTH.
Who is this workshop for?
Supercomputing for AI is for researchers, data scientists, machine learning engineers, and others who perform computationally heavy AI workloads. Learn about how supercomputers can supercharge your R&D projects. No supercomputing experience is required, but we expect participants to be involved in AI projects involving large datasets.
As there are only 30 slots and it’s going to be very hands-on (bring your laptop!) we have some qualifying questions when signing up.
What is supercomputing?
Supercomputing, also known as high-performance computing (HPC), is about performing complex calculations at extremely high speeds on large and massively parallel computers. Supercomputers consist of high-end multicore CPUs and cutting-edge GPUs. They can process vast amounts of data and run large-scale simulations in academic research, as well as in industrial R&D projects.
Agenda
| Time | Topic |
|---|---|
| Welcome and introduction by ENCCS and Stockholm AI | |
| 13:30-14:00 | Overview of ENCCS, the EuroHPC ecosystem and supercomputing services in Sweden |
| 14:00-14:15 | Highlight of selected success stories |
| 14:15-14:30 | Coffee break |
| 14:30-15:30 | Hands-on introduction to the HPC environment |
| 15:30-15:45 | Coffee break |
| 15:45-16:15 | Introduction to ColonyOS |
| 16:15-17:00 | Open discussion on HPC opportunities and challenges |
About ENCCS
The EuroCC National Competence Centre in Sweden (ENCCS) is the gateway for startups and small and medium-sized enterprises (SMEs) in Sweden to get access to and start efficiently utilising supercomputing resources available in Sweden and elsewhere in Europe.
ENCCS provides:
- free HPC consultancy and training
- assistance in writing access proposals to EuroHPC machines
- in-depth support in proof-of-concept projects.
As a one-stop-shop for HPC in Sweden, ENCCS also connects companies to HPC and AI service providers and funding agencies in the EuroHPC ecosystem.
About Stockholm AI
Since 2017, Stockholm AI has acted as a platform for exchanging knowledge between experts in different fields relating to AI. They are dedicated to establishing Stockholm as a global player within Artificial Intelligence (AI) and Machine Learning (ML), as well as being the main hub for the Stockholm AI / ML community.
The community is open to anyone and free. Join the movement at https://stockholm.ai/!
About PDC
PDC runs the Dardel supercomputer which is currently the fastest supercomputer for academic research in Sweden. PDC also works with industrial partners and empowers business R&D projects through HPC access, data storage facilities, application expert support, and other services.
Lesson material
Even though this event does not require any preparatory work, feel free to dive into our lesson material from other training events, including deep learning, GPU programming, and more. Browse at https://enccs.se/lessons/
Related Events
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and its associated countries .