Computational Science Community Wiki

GPUs Enabling Research

GPUs and their use matured in c.2010 with many applications being ported to these "accelerators" and many researchers evaluating their performance. China has invested heavily, resulting in several Top 500 supercomputers in the world using GPU architectures.

Over the last c.30 months, the University GPU Club has grown in to a vibrant community of researchers exchanging ideas on how best to use GPUs and other emerging technology.

These pages explain what GPUs are and how to use them.


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GPU Contents

alt="NVIDIA CUDA Research Centre"

  • Software for GPUs inc. compiler/directives, maths libs & tools (debuggers and profilers)