Welcome to the QMUL HPC documentation site¶
This site supports the research computing services, including QMUL's High Performance Compute cluster, provided by the ITS Research group at Queen Mary University of London. It provides information on use, policy and best practices, alongside documentation for computing applications available on the cluster, to maximise cluster efficiency and total research output.
Apocrita is a heterogeneous HPC cluster comprising around 350 nodes and 12,500 cores, managed by ITS Research at Queen Mary University of London for the primary purpose of supporting research performed by QMUL researchers. It is owned by QMUL and located in the Jisc shared data centre in Slough.
Why use Apocrita?¶
Using an HPC cluster can substantially reduce the time taken to compute problems by running analyses in parallel or breaking them up into pieces. Both strategies allow for the problem to be worked on by many separate compute cores (CPUs) at the same time.
The Apocrita system has been specifically designed to meet the needs of a wide variety of research in the areas of our three faculties: Humanities and Social Sciences, Science and Engineering, and Medicine and Dentistry.
Citing Apocrita in your research¶
Published research which has used the Apocrita HPC system should reference this facility using the following text:
This research utilised Queen Mary's Apocrita HPC facility, supported by QMUL Research-IT. http://doi.org/10.5281/zenodo.438045
We also ask that you acknowledge assistance from ITS Research where applicable. Please see the citing page for examples.
New cluster accounts for eligible users can be requested here. There are also sections on how to log in, change your password, submit a job, and a description of the various nodes available on the cluster.
There is also a current list of installed applications and how to use some of the more popular ones.
We host two instances of GitHub Enterprise, one using centralised QMUL login credentials and the other with ITS Research (HPC) credentials. If you are interested in using this GitHub Enterprise service, please compare each version and select the most appropriate instance for your research needs.
ITS Research also provide support to some eligible users on Tier 2 HPC systems.