Case Study

Queen Mary University of London Maximizes HPC Cluster Performance

Queen Mary University of London Maximizes HPC Cluster Performance

Pages 2 Pages

Queen Mary University of London needed a reliable, enterprise-grade workload scheduler to support thousands of researchers across diverse disciplines. Its legacy open-source scheduler caused performance issues and limited application support. By migrating to Altair Grid Engine, the university achieved immediate improvements in system stability, throughput, and resource utilization. The solution supported short-running jobs, GPU workloads, and complex parallel applications without disruption. Researchers gained consistent access to preferred software, while administrators benefited from simplified management. The upgrade positioned QMUL’s HPC infrastructure for long-term growth and research excellence.

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