
On the 12th – 13th Dec, Research IT will be hosting a course on “Writing Scalable Parallel Applications with MPI”. The course will be hands on and is an opportunity to learn how best to use MPI.

On the 12th – 13th Dec, Research IT will be hosting a course on “Writing Scalable Parallel Applications with MPI”. The course will be hands on and is an opportunity to learn how best to use MPI.

Research IT is pleased to announce that a replacement system for the existing Research Data Storage platform (Isilon) has been procured. The new tiered platform will offer researchers greater data storage capacity and will also be faster and cheaper.

Research IT will be running a full-day course providing an intensive hands-on introduction to version control using Git on the 8th November 2016.

Are you one of a growing number of people in academia who combine expertise in programming with an intricate understanding of research? If so then you are a research software engineer (RSE)! The inaugural conference of RSEs took place in Manchester in early September and the presentations are now available online along with many of the workshop training materials.

The Hartree Centre has announced a 7th programme of access to its Intel® Xeon Phi™ coprocessor cluster. This is for projects from academia and industry that would like to experiment with their code on this exciting new architecture.

Dropbox for Business, our external file sharing service is arriving soon, stopover and find out what’s on offer and how to get on board.

NAG will be holding a two day Fortran workshop at the University of Manchester on the 2nd – 3rd Feb 2017. The event is free to attend but registration is required.

Research IT has been providing the SpiNNaker project with research software engineer (RSE) expertise to help them simulate billions of simple neurons in order to create brain inspired computing systems.

Alliance Manchester Business School are hosting their Big Data Forum on the 28th of September. The Big Data Forum is a cross-disciplinary network that brings together researchers with interests in the field of Big Data.