Five Ways Univa Saves You Money

By Nicole Hemsoth

March 4, 2013

In today’s world of swiftly shortening time-to-market windows, an organizations’ ability to Univainnovate and meet these windows of opportunity necessitates that they become indubitably dependent on technology. The core of this technology is the IT infrastructure that serves as valuable a purpose to end-users as the telephone cables and poles of the plain old telephone system (POTS) enables the dial tone we expect when we pick up a phone.

During tough times it is commonplace for an organization to save money by cutting budgets and postponing major expenses as long as possible. Against this reality it might seem unexpected to suggest that an organization invest in the modernization of a core and fundamental software component in its technical computing infrastructure. Indeed, such an investment can provide a high return while at the same time enhancing an organization’s research and design capabilities.

We have identified five key ways that Univa creates business value for our customers for a modest investment. By upgrading Grid Engine an organization can reduce downtime, boost its jobs per day throughput and find ways to manage application license costs to help meet the budget cut requirements in capital spending imposed by the reality of tough times. 

1. Enterprise-grade Support

With Univa the availability and expertise of support is a given and it comes with a service-level guarantee, telephone support line and the ability to fix the issue that caused the problem in the first place.

As a customer, you don’t just get support when you need it from Univa. You gain access to our exclusive expertise in the scheduler, policies and best practices. Our customers regularly tap us for our knowledge and then apply it to their unique environment and configuration. Often this leads to customer requirements on our roadmap.

“If I went to another company that was using purely an open-source Grid Engine, I would take Univa with me to assure this kind of flexibility and security. I know Univa has my back.”
Katrina Montinola, Archimedes

Support is more than availability alone. The key piece of value – which we offer through subscription – for the core software technology is that we employ the experts who are the key contributors to more than 97% of that software. Therefore, we have the people with the know-how to put in the changes or fixes for you, when required.

With Univa Grid Engine you don’t need to be the expert in the resource manager. You are free to focus on pressing business needs.

2. Unique Performance Features

Performance of modern workload management systems can be defined many ways depending on the primary use and dependency on the system. For many Grid Engine users downtime is the most unacceptable situation. Univa views stability as the foundation of performance that enables the workload management system to maximize throughput. The stability found in Univa Grid Engine has allowed the design of unique features that extends performance to make Grid Engine perform better in the most demanding data centers. Simply put, Univa Grid Engine is the fastest and most stable version of Grid Engine ever.

“…the benefits are significant, especially in managing the risk the business is exposed to.”– Tata Steel

In addition, there are numerous functional improvements in Univa Grid Engine that increase throughput and reduce administration time including Job Classes, Small Job Support, Core & Non-Uniform Memory Access (Numa) Binding support in the master and improved debugging and diagnostics that will cut 90% of the time that it would have taken with open source Grid Engine to determine why jobs fail.

3. Gain Insight through Analytics

Univa bundles UniSight, a Reporting and Analytics tool, that allows organizations to measure, track and chargeback usage on Univa Grid Engine clusters. UniSight provides organizations with the insight they need to make better decisions.

Armed with the knowledge from the reports, companies can reduce spending, ensure investments are delivering value, and make truly informed IT strategy and budget decisions.

4. Manage Licenses

Most Grid Engine users have long desired to manage application licenses as a resource with confidence and at scale. Often only monitoring license usage or using custom home-grown scripts was the primary solution. Until now that is.

Univa License Orchestrator prioritizes the sharing of limited and expensive application license features according to business objectives by incorporating availability into Univa Grid Engine scheduling decisions. Univa License Orchestrator enables maximum workload throughput for users, groups or projects with flexible sharing policies and simple configuration bringing administration efficiency.

Improving the efficiency of expensive application licenses provides immediate and measurable value and savings to an organization.

5. Share with Hadoop

As Big Data technologies enter the enterprise, they must coordinate and integrate with existing systems management best practices in the data center. While benefits from Big Data applications are immense they can be quickly undermined with poor utilization when deployed as a stand-alone system with the inability to share resources.

Univa offers a range of benefits to Big Data applications by integrating Hadoop into the Grid Engine cluster. A shared infrastructure reduces the costs of deploying Hadoop by up to 50%, while the inherited policy-driven scheduling increases utilization and control.

Univa’s support for dynamic and multiple instances of Hadoop and other applications on a shared cluster drives up utilization, and that saves money.

Automation products like Univa Grid Engine drive the overall efficiency of expensive compute and data infrastructure, which in turn makes the users more productive and that is the recipe for innovation and a roadmap to meet the rapidly shortening time-to-market windows. These five ways to create value make Univa Grid Engine an investment with a quick ROI.

Try it for yourself. Download our FREE Trial and take the product – and Univa’s expert support – for a spin.

Download now

For a complete list of benefits please read the product page or read the release notes which can be found here

Related Articles:

TATA Steel Automotive Engineering Depends on Univa: TATA Steel Automotive Engineering’s concern grew when open source Grid Engine support and development was discontinued by Oracle.

Reduce Hadoop Operational Cost by 50 Percent: A case study about how Archimedes put Hadoop in production for less with Grid Engine.

BioIT World Webinar: Have you cracked the genetic code to sharing? Join Archimedes Inc and Univa as they explore shared infrastructures including Hadoop in production.

Grid Engine Release Update: Read what’s new in our 26th development release in 18 months

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

NSF Awards $10M to Extend Chameleon Cloud Testbed Project

September 19, 2017

The National Science Foundation has awarded a second phase, $10 million grant to the Chameleon cloud computing testbed project led by University of Chicago with partners at the Texas Advanced Computing Center (TACC), Ren Read more…

By John Russell

NERSC Simulations Shed Light on Fusion Reaction Turbulence

September 19, 2017

Understanding fusion reactions in detail – particularly plasma turbulence – is critical to the effort to bring fusion power to reality. Recent work including roughly 70 million hours of compute time at the National E Read more…

Kathy Yelick Charts the Promise and Progress of Exascale Science

September 15, 2017

On Friday, Sept. 8, Kathy Yelick of Lawrence Berkeley National Laboratory and the University of California, Berkeley, delivered the keynote address on “Breakthrough Science at the Exascale” at the ACM Europe Conferen Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Prepares Customers for Success with the HPC Software Portfolio

High performance computing (HPC) software is key to harnessing the full power of HPC environments. Development and management tools enable IT departments to streamline installation and maintenance of their systems as well as create, optimize, and run their HPC applications. Read more…

U of Illinois, NCSA Launch First US Nanomanufacturing Node

September 14, 2017

The University of Illinois at Urbana-Champaign together with the National Center for Supercomputing Applications (NCSA) have launched the United States's first computational node aimed at the development of nanomanufactu Read more…

By Tiffany Trader

Kathy Yelick Charts the Promise and Progress of Exascale Science

September 15, 2017

On Friday, Sept. 8, Kathy Yelick of Lawrence Berkeley National Laboratory and the University of California, Berkeley, delivered the keynote address on “Breakt Read more…

By Tiffany Trader

DARPA Pledges Another $300 Million for Post-Moore’s Readiness

September 14, 2017

The Defense Advanced Research Projects Agency (DARPA) launched a giant funding effort to ensure the United States can sustain the pace of electronic innovation vital to both a flourishing economy and a secure military. Under the banner of the Electronics Resurgence Initiative (ERI), some $500-$800 million will be invested in post-Moore’s Law technologies. Read more…

By Tiffany Trader

IBM Breaks Ground for Complex Quantum Chemistry

September 14, 2017

IBM has reported the use of a novel algorithm to simulate BeH2 (beryllium-hydride) on a quantum computer. This is the largest molecule so far simulated on a quantum computer. The technique, which used six qubits of a seven-qubit system, is an important step forward and may suggest an approach to simulating ever larger molecules. Read more…

By John Russell

Cubes, Culture, and a New Challenge: Trish Damkroger Talks about Life at Intel—and Why HPC Matters More Than Ever

September 13, 2017

Trish Damkroger wasn’t looking to change jobs when she attended SC15 in Austin, Texas. Capping a 15-year career within Department of Energy (DOE) laboratories, she was acting Associate Director for Computation at Lawrence Livermore National Laboratory (LLNL). Her mission was to equip the lab’s scientists and research partners with resources that would advance their cutting-edge work... Read more…

By Jan Rowell

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

MIT-IBM Watson AI Lab Targets Algorithms, AI Physics

September 7, 2017

Investment continues to flow into artificial intelligence research, especially in key areas such as AI algorithms that promise to move the technology from speci Read more…

By George Leopold

Need Data Science CyberInfrastructure? Check with RENCI’s xDCI Concierge

September 6, 2017

For about a year the Renaissance Computing Institute (RENCI) has been assembling best practices and open source components around data-driven scientific researc Read more…

By John Russell

IBM Advances Web-based Quantum Programming

September 5, 2017

IBM Research is pairing its Jupyter-based Data Science Experience notebook environment with its cloud-based quantum computer, IBM Q, in hopes of encouraging a new class of entrepreneurial user to solve intractable problems that even exceed the capabilities of the best AI systems. Read more…

By Alex Woodie

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

NERSC Scales Scientific Deep Learning to 15 Petaflops

August 28, 2017

A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, according Read more…

By Rob Farber

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

Oracle Layoffs Reportedly Hit SPARC and Solaris Hard

September 7, 2017

Oracle’s latest layoffs have many wondering if this is the end of the line for the SPARC processor and Solaris OS development. As reported by multiple sources Read more…

By John Russell

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

Leading Solution Providers

IBM Clears Path to 5nm with Silicon Nanosheets

June 5, 2017

Two years since announcing the industry’s first 7nm node test chip, IBM and its research alliance partners GlobalFoundries and Samsung have developed a proces Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Google Releases Deeplearn.js to Further Democratize Machine Learning

August 17, 2017

Spreading the use of machine learning tools is one of the goals of Google’s PAIR (People + AI Research) initiative, which was introduced in early July. Last w Read more…

By John Russell

EU Funds 20 Million Euro ARM+FPGA Exascale Project

September 7, 2017

At the Barcelona Supercomputer Centre on Wednesday (Sept. 6), 16 partners gathered to launch the EuroEXA project, which invests €20 million over three-and-a-half years into exascale-focused research and development. Led by the Horizon 2020 program, EuroEXA picks up the banner of a triad of partner projects — ExaNeSt, EcoScale and ExaNoDe — building on their work... Read more…

By Tiffany Trader

Cray Moves to Acquire the Seagate ClusterStor Line

July 28, 2017

This week Cray announced that it is picking up Seagate's ClusterStor HPC storage array business for an undisclosed sum. "In short we're effectively transitioning the bulk of the ClusterStor product line to Cray," said CEO Peter Ungaro. Read more…

By Tiffany Trader

Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

By John Russell

GlobalFoundries: 7nm Chips Coming in 2018, EUV in 2019

June 13, 2017

GlobalFoundries has formally announced that its 7nm technology is ready for customer engagement with product tape outs expected for the first half of 2018. The Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This