Enterprise customers consistently demand improved performance from every component in their HPC infrastructure, including their workload manager. Ian Lumb, Solutions Architect at Univa Corp., speaks on the importance of an innovative workload manager to overall success.
“Grid Engine 8.5’s significant performance improvement for submitting jobs and reduced scheduling times will have a profound impact to our customers’ bottom line as they can now get more work done in the same amount of time. By reducing the wait time for end-users, our customers can save significant costs. Managing the purchase of more servers and getting higher throughput means deadlines can be met with confidence and on budget. Our goal was to increase the value Univa provides over previous versions of Grid Engine, including the popular open source version 6.2U5,” said Bill Bryce, Vice President of Products at Univa.
“It is extremely important that customers using the Veloce emulation platform maximize the usability of their datacenter-based emulation resources,” said Eric Selosse, vice president and general manager of the Mentor Emulation Division. “We’ve worked with Univa on a tight integration between Univa Grid Engine and the Veloce Enterprise Server App to streamline the workload management task.”
A new site developed by Tin H compares the HPC virtualization capabilities of Docker, Singularity, Shifter, and Univa Grid Engine Container Edition. “They bring the benefits of container to the HPC world and some provide very similar features. The subtleties are in their implementation approach. MPI maybe the place with the biggest difference.”
“Aligning ourselves with an organization like Microsoft further supports our mission of enabling companies to manage their application workloads whether on-premise or in a hybrid or cloud context like Microsoft Azure,” said Gary Tyreman, CEO, Univa. “Univa is working hard to bridge the gap from traditional IT environments to the new hybrid world by helping enterprises reduce complexity and run workloads more efficiently in the cloud.”
In 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. “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.”
Today Univa 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.
Today Univa announced the general availably of its Grid Engine 8.4.0 product. Enterprises can now automatically dispatch and run jobs in Docker containers, from a user specified Docker image, on a Univa Grid Engine cluster. This significant update simplifies running complex applications in a Grid Engine cluster and reduces configuration and OS issues. Grid Engine 8.4.0 isolates user applications into their own container, avoiding conflict with other jobs on the system and enables legacy applications in Docker containers and non-container applications to run in the same cluster.
Today Univa announced Navops Command, a ground breaking software suite that implements sophisticated workload placement and advanced policy management for enterprises to take full advantage of containers on any Kubernetes distribution.
On December 18, Oracle closed an agreement to acquire StackEngine, an Austin-based startup focused on Docker automation. All StackEngine employees will be joining Oracle as part of Oracle Public Cloud.