I have been informed of an event that might be of interest to SEE.
The event will be held on the newly refurbished Research Hub on Level 13 of the Edward Boyle Library. Come and have a look!
There will be short talks showcasing some of the data we have in the data repository and a chance to discuss what you’d like to see in terms of the research data service and research data oriented events and training.
Come and scribble your thoughts on our white board wall and think about how you and your colleagues might make use of the Research Hub.
Drinks and biscuits provided.
Please register on Eventbrite so we know how many biscuits to get.
Register here: https://www.eventbrite.co.uk/e/its-all-about-data-all-welcome-tickets-8102479735
The new generation Intel Xeon Phi is more widely known as “KNL”. The ARCHER service are commissioning a test and development small system. It is expected to be available for early adopters in late October with a month of FoC use with a subsequent step up to an AU charge.
More details can be found on this page in the webinar “Using KNL on ARCHER” (12th October 2016)
The slides are probably good enough information on their own but there is a video on the Archer Youtube channel.
Reminder: Calls for project access close 21 Nov 2016
Using Europe’s most powerful HPC facilities for your research.
The convection group away day took place on 5 Oct 2016 at the University House, Leeds.
There were several CEMAC-related points raised during the discussion.
1. Centralized data storage
People store datasets at various location. Some are repetitive and incomplete. It is necessary to store complete datasets at one location so that everyone can use them.
2. Shared code
It is necessary to organize the codes so that the codes can be shared and one does not have to start from scratch.
3. Structured training
It is a trend to use some software packages, such as python, R, etc. There is a need to structure the training for new PhD students, PDRAs, and anyone who is interested in.
4. Idealized case setup for running UM or WRF
5. Student skill database
It is useful to create a database to show Students/PDRAs’ skills and experiences. It is also convenient for PIs to identify the suitable candidates for a new project.