Case Study

Helmholtz Center Evolves Distributed Resource Management Software from Open Source to Univa Grid Engine

The Institute recognizes value and long-term benefits of protecting its infrastructure investments with Univa Grid Engine

Helmholtz Zentrum München (HGMU) is the German Research Center for Environmental Health. The HGMU investigates important common diseases that develop from the interaction of lifestyle, environmental factors and personal genetic background, with particular emphasis on diabetes mellitus and chronic lung diseases.

The challenge was to develop new algorithms and full system administration of the institute's compute cluster (currently with 1,700 cores) utilized by its 35 employees. The facility was using an open source version of Grid Engine, version 6.2u5.

The open source version was not in alignment with technological advancements, such as working with many core machines or having a scheduler that recognizes traditional GPUs.

While the investment in new software licenses was a financial commitment, they identified specific advantages in migrating to Univa Grid Engine. The deployment was painless and the software was configuration stable.

They now have an environment that schedules workloads to GPUs and they get to take advantage of scheduling 45% more jobs - especially the more important parallel jobs - on any given day.

"Trying to fix issues with the open source solution became very taxing... Our scheduling is far better because of the upgrades and improvements Univa has made to the software," said Jonathan Hoser, IBIS, Helmholtz.

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