Webinar - Introduction to HPC Supercomputers, Data Science and EPCC's MSc Programmes in HPC
- Event time: 5:00pm
- Event date: 25th March 2015
- Speaker: David Henty (Formerly School of Physics & Astronomy, University of Edinburgh)
- Location: Online
In this webinar I will give a brief overview of ARCHER, the UK national High Performance Computing (HPC) service, what it is used for and how it is programmed. I will also introduce EPCC's one-year Masters courses in HPC and Data Science which teach all the techniques required to use parallel supercomputers.
The webinar should be of interest to anyone with a background in the physical sciences or computer science who is interested in developing expertise in HPC and parallel programming.
Supercomputers such as ARCHER are a core component of scientific research in the 21st century. Areas such as materials modelling, engineering, astrophysics and climate research increasingly rely on large-scale computer simulations. With the growing interest in "Big Data", supercomputers are also required to analyse the huge quantities of data being collected.
Modern supercomputers are all massively parallel systems - ARCHER itself has almost 120,000 processor-cores - and special parallel programming techniques are required to exploit the power of these systems. Importantly, these techniques are very portable and are applicable to multicore laptops, GPU systems and computing clusters as well as the world's largest supercomputers.
How to take part
Before the session - get prepared
The session will take place in Blackboard Collaborate, which is a live and virtual meeting environment. It is important to make sure you check your computer set up for using the software at least a day before the session. Try not to leave these steps until the day of the event.
Refer to our Technical help pages to ensure that your computer set-up is compatible with our system requirements.
On the day - accessing the session
Registration is not required for this event. Please click the link below to join the session: