- Indico style
- Indico style - inline minutes
- Indico style - numbered
- Indico style - numbered + minutes
- Indico Weeks View
Over fifty percent of the supercomputers in the TOP500 list are now equipped with GPUs, and their share in total compute power is constantly growing. For software to benefit from these massively parallel processors, developers have to gain an understanding of GPU architectures, available programming models and performance optimization techniques. The objective of this course is to provide research software engineers with GPU computing skills, make an informed decisions about available programming models and enable them to start porting their applications to GPUs.
Basic Information
Date: 9,11,16,18,23,25 Jan; 1 Feb 2024
Delivery: Hybrid. Participants can decide per session if they want to attend in-person.
Format: This workshop is for individuals and small groups of developers who want to acquire GPU programming skills. We expect each participant/group to bring along their own research code and to participate in all sessions. Tuesday sessions will be delivered as 1-hour sessions, while Thursday sessions will be full-day workshops with the opportunity to apply the newly gained skills to your own research code.
Location: Department of Computer Science at Durham University and zoom
Deadline to register: 1 January 2024
More info / register: https://scicomp.webspace.durham.ac.uk/teaching/professional-development/gpu-programming-workshop-series-2024/