Video: Univa Grid Engine Speeds Workloads with Intel Xeon Phi Processor

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univaIn this video from ISC 2016, Bill Bryce from Univa describes the company’s innovative container technology helps customers manage their computing workloads with Univa Grid Engine.

Univa, a leading innovator of workload management, today announced the release of Univa Grid Engine Version 8.4.0 with preview support for the Intel Xeon Phi processor (formerly code-named “Knights Landing”), enabling enterprises to launch and control jobs on Intel Xeon Phi processor-based systems. The update simplifies running and managing applications on Intel Xeon Phi processor-based clusters.

“Grid Engine 8.4.0 has many significant updates including Docker support and integration with the new Intel Xeon Phi processor,” said Bill Bryce, Vice President of Products at Univa. “This latest release will allow a user or administrator to schedule jobs so that the right business-critical jobs are prioritized over other workloads-thus maximizing shared resources and allowing Univa customers to gain velocity.”

In this video from ISC 2016 in Frankfurt, Daniel Gruber from Univa describes (in German) how Univa Grid Engine speeds up workloads for the newly announced Intel Xeon Phi processor.

Of the more than 80 feature updates for Univa Grid Engine, the major updates include:

  • Support of Docker containers – Univa Grid Engine will automatically dispatch jobs to run in Docker containers from a user specified Docker image
  • System Profiling – Administrators can examine different aspects of Univa Grid Engine to determine if a type of job, configuration or infrastructure outside of Univa Grid Engine is causing issues and slowdowns.

Univa Grid Engine is the leading workload management system. The solution maximizes the use of shared resources in a datacenter and applies advanced policy management tools to deliver products and results faster, more efficiently, and with lower overall costs. The product can be deployed in any technology environment, including containers: on-premise, cloud or hybrid cloud. A variety of add-ons can be utilized to extend workload management capabilities and create a customized solution for any enterprise infrastructure.

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