We are pleased to announce the Wellcome Trust Centre for Human Genetics (WHG) at Oxford University has selected Univa Grid Engine as the distributed resource management system to power its high performance computing (HPC) environment.
WHG is a research institute within the Nuffield Department of Medicine at the University of Oxford. To serve its 400 researchers and 70 support personnel, the WHG shared HPC cluster comprises over 4,000 InfiniBand-connected, high-memory compute cores and 4PB of high performance, parallel storage running 250 applications.
To plan for growth and accommodate mixed workload types (serial-batch, array, MPI, container, Spark) on the same shared cluster, the Centre evaluated numerous open source and commercial options and selected Univa Grid Engine, citing its modern scheduler, expert technical support and minimal user re-training.
“The conversion from the previous scheduler to Univa Grid Engine was virtually painless. Our users are happy that their hard-won knowledge continues to be relevant, significant scheduler bugs and vulnerabilities were fixed, and we also save on our own precious system administration time,” said Dr. Robert Esnouf, Head of Research Computing Core, Wellcome Centre for Human Genetics. “We can now plan for significant future growth with Univa as a key component of our infrastructure offering.”
The transition to Univa Grid Engine also provided WHG with new capabilities like GPU-aware scheduling, DRMAA2, and container support, placing WHG in a position to embrace emerging research techniques and support a wider range of research. To learn more how WHG expanded workloads for their life-science research, download this detailed case study.