High Performance Computing: An Introduction (ONLINE LIVE TRAINING)
Organizer: University of Cambridge
Host institution: University of Cambridge Bioinformatics Training
Start: Tuesday, 06 July 2021 @ 08:30
End: Tuesday, 06 July 2021 @ 16:30
Venue: Craik-Marshall Building
Country: United Kingdom
Postcode: CB2 3ARTarget audience:
- This course is aimed at students and researchers of any background.
- We assume no prior knowledge of what a HPC is or how to use it.
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.
- Graduate students
- Postdocs and Staff members from the University of Cambridge
- Institutions and other external Institutions or individuals
PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team will be teaching the course live online in conjunction with the presenters.
Have you heard about High Performance Computing, but are not sure what it is or whether it is relevant for your work? Would you like to use a HPC, but are not sure where to start? Are you using your personal computer to run computationally demanding tasks, which take long and slow down your work? Do you need to use software that runs on Linux, but don't have access to a Linux computer? If any of these questions apply to you, then this course might be for you!
Knowing how to work on a High Performance Computing system is an essential skill for applications such as bioinformatics, big-data analysis, image processing, machine learning, parallelising tasks, and other high-throughput applications.
In this course we will cover the basics of High Performance Computing, what it is and how you can use it in practice. This is a hands-on workshop, which should be accessible to researchers from a range of backgrounds and offering several opportunities to practice the skills we learn along the way.
As an optional session for those interested, we will also introduce the (free) HPC facilities available at Cambridge University (the course is not otherwise Cambridge-specific).
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