Formula One Racing Can Drive CFD Innovation Faster
By Timothy Prickett Morgan
The high performance computing cap on the systems that run the computational fluid dynamics, or CFD, applications that are used to design the race cars is absolutely intentional, Otmar Szafnauer, chief operating officer of the Sahara Force India racing team, explains to The Next Platform.
When Sahara Force India got its latest 25 teraflops cluster two years ago, it partnered with Univa to put its Grid Engine workload scheduler on the system, which allows for engineers to submit jobs for modeling and push utilization on the CFD cluster up into the 97 percent range at a sustained level.
“If you can be more efficient, you gain a strategic or performance advantage, and this is where Univa helps us,“ says Szafnauer.
Univa Resource Broker 1.1.0 Add-on for Univa Grid Engine Released
Univa Resource Broker (URB) is a component that you add to an existing Univa Grid Engine cluster that allows Distributed Applications written using the Apache Mesos API to run in a Univa Grid Engine Cluster. All of the existing Apache 0.22.0 or later Frameworks are supported and can run in a Univa Grid Engine 8.1.7p5 or later cluster.
This latest version of Univa Resource Broker contains many fixes and enhancements some are:
• Offline Installation – Univa Resource Broker can be installed on common Linux Platforms without an Internet connection
• Latest Linux systemd init system support – Latest Red Hat and CentOS releases supported
• Non-root operation – Univa Resource Broker services can run as non root user
• Wildcard Framework Mapping – Mesos Frameworks can be mapped to common configuration and Job Class
• Custom Executor Environment – Univa Resource Broker compute task environment can be customized to meet end user needs
Early adopters report “easier replication, faster deployment and lower configuration and operating costs” of applications that involve Docker containers. Not surprisingly then, a groundswell of organizations are interested in evaluating Docker containers in proof-of-concept initiatives and/or pilot projects.
The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and integrated into application workflows.
The aim of this webinar is to provide a technical overview and demonstration of Docker and to frame its use within the context of High Performance Computing and Big Data Analytics.
Join us to learn all about Docker at these webinars:
Thursday, April 21, 2016 | 10am PDT | 1pm EDT
Tuesday, April 26, 2016 | 10am UK | 11am CEST | 6pm Korea/Japan
Upcoming Training Courses
We are currently offering 3-day Advanced Grid Engine courses. Interactive hands-on exercises are integrated into the course as well as practical trouble-shooting tips. Training is selling out fast!
Open Source User? Content is applicable to all versions of Grid Engine software.
Next Advanced Grid Engine training classes:
Boston, MA | April 12-14, 2016
Regensburg, Germany | September 27-29, 2016
Check Out Our 2016 Event Lineup
We will be presenting at the following industry events. Our workshops will cover topics such as license management, workload management and maximizing your investment in software.
Enterprise HPC | San Diego, CA | March 20-22, 2016
GCP NEXT | San Francisco, CA | March 23-24, 2016
HPC for Wall Street | New York, NY | April 4, 2016
NGS’16 | Barcelona, Spain | April 4-5, 2016
Bio IT World | Boston, MA | April 5-7, 2016
The Engineering Simulation Show | Derby, UK | April 7, 2016