The compute component of Edinburgh Compute and Data Facility (ECDF), known as Eddie, offers a number of services aimed to satisfy as best as possible all researchers' computational requirements.
Eddie can cut the time taken to compute problems by running the software in parallel, or by breaking the problem into many pieces, each of which can be run on a separate cpu in parallel. Examples of the speed improvements that researchers have realised already are in Psychiatry, where processing of brain scans from a Schizophrenia study took 28 hours instead of 469 days, and a protein structure prediction study which involved 810,000 simulations and used 1.5 CPU years of computation in less than 2 days.
Users who wish to discuss their use of Eddie with the ECDF team should submit a query through the IS Helpline.
Currently, Eddie is primarily made up of two parts:
GPGPU stands for General-Purpose computation on Graphics Processing Units. CUDA is a toolkit for GPGPU written by NVIDIA. OpenCL is a new industry standard programming system for developing parallel programs that typically execute on heterogeneous computing systems. More information about using Cuda and OpenCL is available from the links below. Currently the GPU provision is:
Large memory jobs and shared memory programs using methods such as OpenMP (Open Multi-Processing) can make use of the following:
This article was published on Jan 19, 2015