Kelvin Living Lab

1. User Job Distribution: A Heavy-Tailed Workload The cluster’s workload is heavily concentrated among a very small fraction of the total user base. The data exhibits an extreme version of the Pareto principle (80/20 rule). This indicates that a vast majority of users submit relatively few jobs, while a core […]

1. What predicts the waiting time? The factors that best predict how long a job will wait in the queue vary significantly depending on the specific cluster partition. 2. What is the utilisation of the various nodes? Node utilisation across the cluster is highly uneven, with some resources heavily saturated […]

On 29 April 2026, during the Software Sustainability Institute’s (SSI) Collaborations Workshop 2026 (CW26) organised at ICC, Belfast, Syed Tauhidi and Hans Vandierendonck organised a workshop exploring the role of research software in sustainable computing. High-performance computing (HPC) carries a massive environmental footprint, driving up both capital and operational costs. […]

In the world of high-performance computing, we often prioritise speed above all else. But as our applications grow more complex, they consume massive amounts of power—often more than they actually need. To bridge the gap between peak performance and energy efficiency, I’ve developed URJA: The Unified Runtime Job Analyser. What […]

We attended the NI-HPC conference held on 4 November 2025 at Riddel Hall, Queen’s University, Belfast. Hans Vandierendonck presented and talked about the Kelvin Living Lab and aspects of sustainable computing, and Giuliana Cabrera, a summer intern from Massachusetts Institute of Technology, USA, presented the initial studies on URJA. The […]