Gain Control of Your Software Licensing Expenses

By Nicole Hemsoth

May 17, 2013

Ask any IT engineering organization and they will tell you software has transformed their business, enabling them to run simulations more efficiently to automating design verification processes.  The result is organizations are more competitive by delivering products to market faster and for less cost.

On the flip side, the licenses for engineering tools have increased exponentially in price while IT budgets continue to be flat or even reduced.  Despite this situation, IT departments often fail to adequately track and manage software licenses.   William Bryce, Vice President of Products at Univa, said “Companies spend heavily on expensive software tools without really understanding how to ensure that these critical assets are being optimally used.  Consequently, an unacceptable proportion of that expenditure could be wasted.”

Additionally for organizations that have development centers around the world, the need to increase the visibility and overall efficiency of license use is critical.  Many organizations spend limited budget on licenses for regional use that are then not maximized across the enterprise.  Application software licenses need to be treated as an integral operational component of the business where utilization approaches 100 percent, licenses are assigned to the most critical projects and when tokens are available in remote sites they are used seamlessly by another group or region to meet business objectives. 

There are, however, IT departments that realize that controlling the spiraling cost of software licenses can be done by increasing efficiency and implementing license management. Some have even hobbled together homegrown solutions.  However, these solutions do not scale to meet the needs of a complex and growing organization.  Furthermore, these homegrown solutions take valuable IT resources away from managing core business needs.

Univa, a leading datacenter automation company, has developed a licensing management solution, License Orchestrator, that enables IT departments to maximize their current license usage while ensuring budgets are being used to purchase the most business critical licenses.  This solution enables IT departments to share licenses easily between geographically dispersed sites, which enables organizations as a whole to save money by purchasing fewer licenses.   Additionally, License Orchestrator provides organizations with a competitive advantage, by ensuring licenses are available for critical projects, and has the intelligence to obtain licenses from another non-critical project or a remote site to meet a specific business goal.  Univa’s license management solution provides IT departments with accurate data on license usage allowing the ability to bill cost back to specific groups, and get better visibility to ensure budget is being spent on the most needed licenses. 

Many organizations have multiple license servers at different geographically separate sites.  It can be quite difficult to obtain a single view of all license assets across an organization.  Univa License Orchestrator combines the information from multiple Flexera FlexNet Publisher instances into one single software asset view for an organization greatly simplifying management, measurement and reporting.

Univa - License Wait Times 

Once you have a single view into all software license assets in an organization the next obvious step is to track the usage of licenses across multiple datacenters, provide reports on usage and, if necessary, a chargeback report for license usage.  Univa License Orchestrator is integrated with Univa’s reporting and analytics product UniSight. The reports provide a single management view of all licenses used in Univa Grid Engine clusters.  On a daily, weekly or monthly basis administrators and management can login to UniSight, generate ad-hoc reports or create custom views of license usage data as needed.

Ensuring optimal usage of software licenses isn’t trivial.  The definition of ‘optimal’ changes based on the business objectives of an organization.  Which project, group or user is most important this week?  It is obvious that the most important project changes dynamically on a day-to-day basis and possibly on an hourly basis within a company.  Sophisticated scheduling policies can be defined in Univa License Orchestrator mapping the current business objectives to the actual license usage by the users in an organization.  These policies can be changed as needed and License orchestrator will automatically apply the changes to all jobs or applications that request licenses in Univa Grid Engine Clusters.

When a job is submitted by a user or via a commercial software application into a Univa Grid Engine Cluster, an application license (or even multiple licenses) is needed to run the job on a server.  This process is managed through tight coordination between Univa Grid Engine and License Orchestrator, and is transparent to the user.  All a user really cares about is ‘run my job as soon as you can with the correct licenses’.  The system takes care of the rest. Behind the scenes License Orchestrator synchronizes the scheduling of the license with the job.

In certain situations, IT departments require more control over how licenses are shared across datacenters and for an application which license server is used when the job runs in the cluster.  Univa License Orchestrator provides this flexibility.  You can choose the specific license server you want to communicate with for a license or you can let the system automatically communicate with the local license server first then try a remote license server if needed and available.  Combining automated and administrator preferred selection of License servers allows the end users to submit their jobs and ‘just forget about the license’ since Univa’s system will take care of things automatically.

One of the unique challenges that is addressed by Univa License Orchestrator is the ability to seamlessly collect all the license information from multiple Flexera FlexNet Publisher instances in real-time ensuring a single consistent view of all license assets from a single management console.  Univa License Orchestrator provides a consolidated view but must also be synchronized with the state of all Univa Grid Engine Clusters in an organization so that when a end user submits their job and requests a license the ‘correct’ or ‘highest priority’ user must get the license first according to policies and limits defined in Univa Grid Engine and Univa License Orchestrator.  This becomes even more challenging when the policies and limits are changed on the system dynamically to reflect new high priority projects or business objectives.  Univa License Orchestrator has to automatically reprioritize all jobs waiting for licenses from all clusters that are registered in Univa License Orchestrator. 

Univa knows that only by optimizing software license usage by reconciling product use rights with how employees are actually using the software, can organizations really gain control of licensing expenditure. Furthermore, it is critical for enterprises to obtain better visibility on license usage across the organization to eliminating wasteful purchasing. For example, consider an organization with 4,000 licenses, each costing $2,500.  Without the visibility into license usage, an IT department, could inaccurately budget a 10% increase at a cost of $1 million.  With Univa’s License Orchestrator, an IT department now has a central view of license usage empowering them to better forecast license expenditure and match license usage to business critical projects improving the company’s bottom line.

To learn more about best practices in managing application licenses or to get started with a FREE Trial contact Univa today at sales@univa.com

For more information, about Univa’s innovative datacenter automation products including License Orchestrator please check out http://www.univa.com

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!

TACC Helps ROSIE Bioscience Gateway Expand its Impact

April 26, 2017

Biomolecule structure prediction has long been challenging not least because the relevant software and workflows often require high-end HPC systems that many bioscience researchers lack easy access to. Read more…

By John Russell

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

IBM, Nvidia, Stone Ridge Claim Gas & Oil Simulation Record

April 25, 2017

IBM, Nvidia, and Stone Ridge Technology today reported setting the performance record for a “billion cell” oil and gas reservoir simulation. Read more…

By John Russell

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

Remote Visualization Optimizing Life Sciences Operations and Care Delivery

As patients continually demand a better quality of care and increasingly complex workloads challenge healthcare organizations to innovate, investing in the right technologies is key to ensuring growth and success. Read more…

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

Musk’s Latest Startup Eyes Brain-Computer Links

April 21, 2017

Elon Musk, the auto and space entrepreneur and severe critic of artificial intelligence, is forming a new venture that reportedly will seek to develop an interface between the human brain and computers. Read more…

By George Leopold

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Messina Update: The US Path to Exascale in 16 Slides

April 26, 2017

Paul Messina, director of the U.S. Exascale Computing Project, provided a wide-ranging review of ECP’s evolving plans last week at the HPC User Forum. Read more…

By John Russell

ASC17 Makes Splash at Wuxi Supercomputing Center

April 24, 2017

A record-breaking twenty student teams plus scores of company representatives, media professionals, staff and student volunteers transformed a formerly empty hall inside the Wuxi Supercomputing Center into a bustling hub of HPC activity, kicking off day one of 2017 Asia Student Supercomputer Challenge (ASC17). Read more…

By Tiffany Trader

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of a new generation of chips designed specifically for deep learning workloads. Read more…

By Alex Woodie

NERSC Cori Shows the World How Many-Cores for the Masses Works

April 21, 2017

As its mission, the high performance computing center for the U.S. Department of Energy Office of Science, NERSC (the National Energy Research Supercomputer Center), supports a broad spectrum of forefront scientific research across diverse areas that includes climate, material science, chemistry, fusion energy, high-energy physics and many others. Read more…

By Rob Farber

Hyperion (IDC) Paints a Bullish Picture of HPC Future

April 20, 2017

Hyperion Research – formerly IDC’s HPC group – yesterday painted a fascinating and complicated portrait of the HPC community’s health and prospects at the HPC User Forum held in Albuquerque, NM. HPC sales are up and growing ($22 billion, all HPC segments, 2016). Read more…

By John Russell

Knights Landing Processor with Omni-Path Makes Cloud Debut

April 18, 2017

HPC cloud specialist Rescale is partnering with Intel and HPC resource provider R Systems to offer first-ever cloud access to Xeon Phi "Knights Landing" processors. The infrastructure is based on the 68-core Intel Knights Landing processor with integrated Omni-Path fabric (the 7250F Xeon Phi). Read more…

By Tiffany Trader

CERN openlab Explores New CPU/FPGA Processing Solutions

April 14, 2017

Through a CERN openlab project known as the ‘High-Throughput Computing Collaboration,’ researchers are investigating the use of various Intel technologies in data filtering and data acquisition systems. Read more…

By Linda Barney

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of “quantum supremacy,” researchers are stretching the limits of today’s most advanced supercomputers. Read more…

By Tiffany Trader

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference phase of neural networks (NN). Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the campaign. Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its assets. 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

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

For IBM/OpenPOWER: Success in 2017 = (Volume) Sales

January 11, 2017

To a large degree IBM and the OpenPOWER Foundation have done what they said they would – assembling a substantial and growing ecosystem and bringing Power-based products to market, all in about three years. Read more…

By John Russell

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…

By Tiffany Trader

Leading Solution Providers

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which will be Japan’s “fastest AI supercomputer,” Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling was pretty much the exclusive realm of the Cray-2 and IBM mainframe class products. That’s changing. We are now seeing an emergence of x86 class server products with exotic plumbing technology ranging from Direct-to-Chip to servers and storage completely immersed in a dielectric fluid. Read more…

By Steve Campbell

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular offerings such as Caffe, Theano, and Torch. Read more…

By John Russell

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

BioTeam’s Berman Charts 2017 HPC Trends in Life Sciences

January 4, 2017

Twenty years ago high performance computing was nearly absent from life sciences. Today it’s used throughout life sciences and biomedical research. Genomics and the data deluge from modern lab instruments are the main drivers, but so is the longer-term desire to perform predictive simulation in support of Precision Medicine (PM). There’s even a specialized life sciences supercomputer, ‘Anton’ from D.E. Shaw Research, and the Pittsburgh Supercomputing Center is standing up its second Anton 2 and actively soliciting project proposals. There’s a lot going on. Read more…

By John Russell

HPC Startup Advances Auto-Parallelization’s Promise

January 23, 2017

The shift from single core to multicore hardware has made finding parallelism in codes more important than ever, but that hasn’t made the task of parallel programming any easier. Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu’s Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural network training and now they are sharing their implementation with the larger deep learning community. Read more…

By Tiffany Trader

IDG to Be Bought by Chinese Investors; IDC to Spin Out HPC Group

January 19, 2017

US-based publishing and investment firm International Data Group, Inc. (IDG) will be acquired by a pair of Chinese investors, China Oceanwide Holdings Group Co., Ltd. Read more…

By Tiffany Trader

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