alcesflight logo horz text
City University of London

Campus wide HPC

City, University of London, launches the Hyperion High Performance Computing (HPC) cluster to meet supercomputing requirements across all five of their specialist schools.

Excerpt from the Alces Flight client success story series.

City, University of London has five specialist schools focusing on mathematics: computer science and engineering, humanities, business, health and law. As the university continues to refine and transform their research, as well as welcome in new technologies, the IT Services team took the decision to consolidate their HPC services in order to improve engagement with the researchers, students, and staff across the entire university.

“The boost and burst in computational power afforded by Hyperion permits City researchers and academic staff from disciplines who previously were not able to access HPC the opportunity to explore new horizons of comprehension that can be achieved through areas such as data analysis and machine learning.”

— Dr. Alfredo Pinelli, Professor of Fluid Simulation, City, University of London

With an increased need for in-depth exploration in aerospace, material sciences, artificial intelligence, and data discovery, the university required a flexible compute platform and managed services package to enable the on-site team to help researchers, students, faculty and end-users get the most out of their HPC investment.

Said Dr. Alfredo Pinelli, “At City, requirements are currently being developed where HPC is at the heart of research projects, working with or alongside Artificial Intelligence (AI) and Machine Learning (ML) technologies. These requirements are coming from the entire university, so it made sense for us to bring together our knowledge and build a system concentrated on benefiting as many of our researchers as possible.”

The Hyperion cluster has been built through partnership with Alces Flight on Dell EMC hardware and features Intel Xeon powered servers, Mellanox HDR Infiniband, Nvidia GPUs and a Lustre parallel scratch filesystem. With a need to expand exploration, the IT services team looked to consolidate the system and its management in order to to rapidly expand supercomputings to the entire university.

To read the full success story (no registration required) visit this page.

To learn more about how Alces utilises an technology-backed approach to building and managing HPC clusters and environments visit us at:

Wait, there’s more...

Discover our other blog posts