Called “Baskerville”and named after John Baskerville, the enlightenment-era Birmingham industrialist, the Tier 2 accelerated compute facility will provide a state-of-the-art platform for graphics processing unit (GPU)-accelerated computing. It will help researchers to accelerate machine learning algorithms and simulation technology, with wide-ranging applications in computer vision, language processing, molecular modelling, and materials science.
The system will be supplied by Lenovo® via the University of Birmingham’s research computing framework partner OCF Limitedwho will support the logistics of delivering the system. Integration and operation of the facility will be by the University’s Advanced Research Computing team alongside the Birmingham Environment for Academic Research (BEAR), Dr Andrew Edmondson (Research Software Group Lead) and Simon Thompson (Research Computing Infrastructure Architect) will lead the teams at Birmingham delivering and supporting the facility.
Professor Iain Styles, of the University of Birmingham’s School of Computer Science and Director of the University’s Institute for Interdisciplinary Data Science and Artificial Intelligence, led the bid. He said: “Access to accelerated computing is now a major bottleneck in computational research. This facility will serve to accelerate progress in areas such as materials design, drug development and in machine learning research and all of its applications. We are delighted to be able to provide this new capacity to researchers at the University; at our partners – Diamond Light Source, the Rosalind Franklin Institute, and The Alan Turing Institute; and to the wider EPSRC research community.”
The new resource will be built with 46 Lenovo® Neptune™ liquid cooled servers each featuring twin Intel Xeon next generation CPUs, 512GB system RAM and 980Gb local NVMe storage built to support four of NVIDIA's new A100 Tensor Core GPUs attached to each system via high performance PCIe gen4 connection. In total 184 GPUs across the 46 compute nodes will provide over 2 Petaflops of computing resource. To support large data set processing, Lenovo will also be providing ~5PB (usable) of spinning disk and ~0.5PB (usable) of flash storage offered on the Lenovo DSS-G storage systems running IBM® Spectrum Scale™ RAID. The storage and compute systems will all be inter-connected using NVIDIA® Networking ConnectX® HDR InfiniBand adapters and Mellanox Quantum™ switches, providing 200Gbps links, to support high-throughput and scale-out workloads.
The system will be housed at the University of Birmingham’s dedicated research data centre, which opened in 2018 and was the result of a £6m investment by the University and equipped with highly efficient liquid cooling infrastructure.
Simon Thompson, Research Computing Infrastructure Architect at The University of Birmingham said: “The system we have designed provides an optimised solution based on scale-out hardware and will deliver some of the latest generation accelerated compute to our researchers.”
“Through our investment in liquid cooling, we are well placed to support accelerated computing both now, and in the future and we look forward to the challenges of delivering a Tier 2 facility to the UK.”
“We have worked in partnership with the University of Birmingham for a number of years and we are proud to have it as a founding member in our Project Everyscale, a global consortium of leading HPC visionaries,” said Scott Tease, General Manager of HPC and AI at Lenovo. “As one of our longest standing HPC partners, we’re delighted to be supplying this system under our early access programme and Birmingham is one of the few UK sites, which is able to take such a system thanks to following its strategic investment in liquid cooling infrastructure.
“The fact the University is able to deliver over two PetaFlops of compute power in just two racks shows how important investment in infrastructure is to deliver sustainable supercomputing as we enter the Exascale era.” said Tease.
The facility will also provide a welcome boost to researchers working with The Alan Turing Institute, the UK national institute for Data Science and Artificial Intelligence.