Join us for another Arm Scalable Vector Extension Hackathon! This hands-on, non-NDA event will introduce vector length agnostic programming and jumpstart developers targeting the the first CPU to implement SVE, the Fujitsu A64FX. Hands-on exercises will introduce SVE compilers, libraries, and tools from Fujitsu, Cray, Arm, and GNU, and show how popular HPC codes can take advantage of SVE. Bring your own code or use our prepared hands-on exercises!
This event is generously supported by Fujitsu and the University of Bristol. Fujitsu will provide remote access to a Fujitsu PRIMEHPC FX700 system. The University of Bristol will provide access to the HPE Apollo 80 partition of Isambard 2, the largest Arm-based supercomputer in Europe. Don’t miss out! Remote access details will be provided to all registered attendees.
Call-in details
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Schedule
The event starts at 7:00am PST / 10:00 EST / 3:00pm BST with cluster login instructions and an introduction to the A64FX. The first four hours of the event are a structured combination of talks and hands-on exercices. Students may choose to attend any of the talks, or take an unstructured route and spend the time hacking on A64FX. After the talks, the remainder of the day will be spent in unstructured hacking.
Logistics
- Communication: We will use Zoom and Slack for the event.
- Zoom: Please make sure that you have updated to the latest version of Zoom (at least 5.4.0). See https://support.zoom.us/hc/en-us/articles/201362233-Upgrade-update-to-the-latest-version for instructions.
- Slack: Please also join the AHUG Slack workspace and look for the #sve-hackathon channel.
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System Access: Login details will be emailed to the address you provided in your registration. If you have not registered for the event then you will not be able to access the Fujitsu training cluster.
- Materials: Slides, source code, and all other training materials can be browsed and downloaded at https://gitlab.com/arm-hpc/training/arm-sve-tools/.
Contact
- John Linford john.linford@arm.com
Acknowledgements
Many thanks to all our partners and teams within Arm who contributed content including, but not limited to, Dani Ruiz-Munoz, Miguel Tairum-Cruz, Olly Perks, Francesco Petrogalli, Alex Rico, Roxana Rusitoru, and Jelena Milanovic.