Machine Learning lies at the core of modern data processing models. One of the main challenges facing academia to produce large scale Machine Learning solution is the access to sufficient computational resources and relevant support.
N8 CIR provides many services to support research in ML.
For example, N8 CIR provides access to BEDE, one of the fastest supercomputers in the UK which features 32 IBM Power 9 dual-CPU nodes, each with 4 NVIDIA V100 GPUs and high-performance interconnect. This is the same architecture as the US government’s SUMMIT and SIERRA supercomputers which occupied the top two places in a recently published list of the world’s fastest supercomputers. Bede is also the first supercomputer in the UK to make use of IBM’s Power IC922 server; making use of four additional nodes with NVIDIA T4 Tensor Core GPU Accelerators to improve AI inference.
On 15 February we're holding an online meeting for researchers and PGRs who are involved in ML.
The goal of the meeting is to introduce Durham's ML community to the support and services N8 CIR can provide, and to help with identifying key opportunities where N8 CIR could help to accelerate progress within that theme.
N8 CIR will use the skills and expertise of research software and infrastructure engineers (RSEs / RIEs) already working within the N8 to resolve bottlenecks and challenges faced by researchers aiming to target these research opportunities.
This event is only open to those working or studying at Durham University. Please register using your academic (.ac.uk) e-mail address to help confirm your eligibility.
Similar events will be organised at each of the N8 Universities.
The document below is the slides from the ML discussion that took place on Tuesday 15 February 2022.