Research IT

Tag Search Results for GPU

Found total of 7 items

Interested in NVidia GPU / Python Training?

Gillian Sinclair,

We are currently gauging interest for a potential NVidia training course and we need your feedback!

Read the full article

Providing Edge Compute Services for a New National Facility

Christopher Heely, Mark Lundie, Simon Hood,

The Research IT Edge Compute and Satellite Storage service was launched in August, 2020. Find out how we have been helping the National Research Facility for Lab X-ray Computed Tomography to establish a networked computing and data storage facility

Read the full article

Launch of Bede - a new high performance computing platform

Niki Harratt,

Bede, the N8’s new high performance computing platform, is now open for users from across N8.

Read the full article

New Cutting Edge GPU Resource

ritnews,

Researchers at the University of Manchester will have access to a new computational resource this summer. N8 CIR was successful in bidding for a new Tier 2 computational resource in the EPSRC Tier 2 HPC call which took place in Autumn last year.

Read the full article

Hacking Fluids Around Structures on GPUs in Sheffield

ritnews,

Ian Hinder, Research Software Engineer (RSE) from Research IT recently attended a GPU Hackathon at the University of Sheffield. In this blog post he explains the outcomes of the event and the benefits of having research software engineers involved in research projects.

Read the full article

New GPU Resources for The HPC Pool

ritnews,

Two months ago the Research IT HPC Pool consisting of 4096 CPU cores of Infiniband-connected compute resource (all dedicated to true HPC work) went into production. Many researchers are already running jobs on this new resource which was delivered via Research Lifecycle Programme (RLP) Change Project Z: High performance compute investments. We are now pleased to announce the arrival of further compute resources which will be available to all UoM researchers by the beginning of June.

Read the full article

An EU service to help improve performance of parallel software

ritnews,

The EU funded "Performance Optimisation and Productivity (POP) Centre of Excellence (CoE) in Computing Applications" currently provides various services to help improve performance of parallel software, including software written using MPI and OpenMP and for GPUs.

Read the full article