GPUs have evolved from a fixed pipeline graphics processing hardware into powerful programmable co-processing units capable of performing general purpose computing (sometimes referred to as GPGPU or General Purpose Computing on GPUs). In comparison with traditional CPU systems a GPU is capable of far higher (theoretical) peak performance within a smaller power window and as such many of the Top 500 supercomputers are looking at using GPU architectures.
The GPUComputing @ Sheffield groups 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.
The University of Sheffield has been officially affiliated with NVIDIA since 2011 as an NVIDIA CUDA Research Centre (PIs Paul Richmond and Mike Griffiths). 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. Access to these facilities are detailed within this website. For first access to hardware, training and details of upcoming events, discussions and help please join the GPUComputing google group.
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