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Merge pull request #1799 from willfurnass/generic-gpu-computing-page-…
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Generic GPU computing page clean-up
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willfurnass authored May 16, 2023
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Expand Up @@ -11,40 +11,16 @@ Graphics processing typically involves relatively simple computations
that need to applied to millions of on-screen pixels in parallel.
As such, GPUs tend to be very quick and efficient at computing certain types of parallel workloads.

The `GPUComputing@Sheffield website
<http://gpucomputing.shef.ac.uk/>`_ aims to facilitate the use of GPU computing within University of Sheffield research by
providing resources for training and purchasing of equipment as well as providing a network of GPU users and research projects within the University.

.. _GPUCommunity:

GPU Community and NVIDIA Research Centre
----------------------------------------
The University of Sheffield has been officially affiliated with `NVIDIA <https://research.nvidia.com/>`_ since 2011
as an `NVIDIA CUDA Research Centre <https://developer.nvidia.com/academia/centers/university-sheffield-cuda-research-center>`_.
As such, NVIDIA offer us some benefits as a research institution including
discounts on hardware,
technical liaisons,
online training and
priority seed hardware for new GPU architectures.
For first access to hardware, training and details of upcoming events, discussions and help
please join the `GPUComputing google group <https://groups.google.com/a/sheffield.ac.uk/forum/#!forum/gpucomputing>`_.

.. _GPUAccess:

Requesting access to GPU facilities
-----------------------------------
Access to GPU resources
-----------------------

**Public GPU nodes are available to in Stanage, Bessemer and ShARC. These can be be used without acquiring extra permission.**

Research groups also have an option to purchase and add nodes to the cluster to be managed by IT Services.
For these nodes (e.g. :ref:`dcs_gpu_nodes_bessemer`),
permission from the owner(s) of those nodes is required for access.

The node owner(s) always have highest priority on the job queue but
as a condition for the management of additional nodes on the cluster,
the nodes are expected to be used as a resource for running short jobs during idle time.
If you would like more information about having IT Services add and manage custom nodes,
please contact ``[email protected]``.
Research groups also have an option to purchase extra resources/priority in the cluster.
To make use of these extra resources (e.g. :ref:`dcs_gpu_nodes_bessemer`) / this extra priority access
researchers need to be approved by the academic/researcher who made that purchase.

Using GPUs on the different clusters
------------------------------------
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