High Performance Computing (HPC) is a key part of Scientific Computing. With the growth of multicore CPUs & many-core GPUs (graphics processors) HPC is concerned with algorithms & implementation techniques for shared-memory and distributed-memory parallel computing. We focus on the use of GPUs, and work across the University to exploit the benefits offered by them, both on single systems or the Emerald GPU system.
Energy-efficiency is also a major concern in HPC, as the three-year electricity cost can now exceed the purchase price of a system. We are looking at software techniques to assess energy efficiency, and new algorithmic approaches for improving it.
In 2012, OeRC led the procurement of Emerald, the largest GPU system in the UK. as part of a collaboration between Oxford, Bristol, Southampton and UCL.
NVIDIA has recognised Oxford University, and in particular OeRC, as a CUDA Center of Excellence in GPU computing.
If you would like to find out more about Scientific Computing or collaborate with us in this area please get in touch.
