Utility Computing and HPC

By Nicole Hemsoth

August 11, 2006

When peak work loads call for extra computing cycles, HPC managers and directors must find the resources they need without breaking budgets. A new computing model is emerging that allows HPC organizations to rent the processing power they need — whenever and wherever they need it. This model, called utility computing, is an effective solution for project-oriented engineering and research teams that have critical time, space, power, and capital constraints.

HP is a leader in developing and providing utility computing services across the globe, especially for HPC applications such as computer-aided engineering (CAE) and life and materials sciences. HPCwire sat down with Norman Lindsey, chief architect, HP Flexible Computing Business Unit, to get his perspective on utility computing in HPC and HP's latest offering in this market, HP Flexible Computing Services.

HPCwire: What challenges do HPC managers face with today's “fixed” computing centers and assets for HPC?

Lindsey: HPC managers are continually trying to improve the scalability of their systems to meet peak activity levels, build in greater flexibility to respond to change, and enhance services for users — and to do all of this at the lowest possible cost. HPC assets are expensive and prone to rapid obsolescence, and they are frequently allocated inappropriately or without the right level of utilization to make them cost-effective. When this happens, not only does the bottom line suffer, but user satisfaction with IT performance decreases as well.

HPCwire: Is utility computing the answer to today's HPC provisioning challenges? Does this type of model make sense?

Lindsey: As with all IT, HPC organizations realize that they need to improve the flexibility and cost-effectiveness of their technology. Utility computing solutions can be ideal for project-oriented engineering and research teams that have critical peak requirements, such as we often see in HPC organizations. With a pay-as-you-go, usage-based solution, HPC professionals working in CAE, life and materials sciences, weather research, and geosciences can 'scale up' on processing power when and where required.

Often compared to the model used by public energy utilities, this “IT as a service” model is relatively new to the industry. When you consider the evolution of energy utilities over the past century, a services model for IT makes sense. In the early twentieth century, large businesses had to build and operate their own power plants to generate the electricity required to run their businesses and compete in the marketplace. Over time, these businesses realized that it was smarter to offload the burden of managing large internal infrastructures to utility service providers, who could provide electricity when and where it was needed.
The same trend is occurring in IT today. HPC directors are realizing the value of a hybrid computing environment — owning a portion of fixed assets for critical jobs and augmenting these resources with utility computing for peak demand or as a long-term, flexible resource.

HPCwire: If I were an HPC manager and decided to move part of my infrastructure to utility computing, what are the key benefits I would see?

Lindsey: There are numerous compelling IT and business advantages to a utility computing model for HPC. The most obvious benefit is scalable computing power for highly variable workloads. You can scale up and down quickly, synchronizing computing resources with your requirements — in a way that fixed assets can't. Utility computing is designed to deliver as much power as your HPC users need, whenever they need it. No more missed deadlines because you didn't have enough computing resources.

Utility computing also enables smaller organizations to access capabilities far beyond what their budgets would normally allow; letting them “punch above their weight.” Smaller organizations can quickly address projects they would ordinarily not be able to deliver.

The flexibility utility computing provides also enables you to try out new technologies or techniques. You can use the utility computing resources as an IT 'sandbox.' For example, you can try running a certain application in parallel or on a different version of Linux, to experiment with performance improvements. If it doesn't work out, no worries. If it does, the procedures are available to reproduce the environment immediately.

Utility computing can also provide more cost-effective HPC and improved budget flexibility. Many high-performance compute clusters as well as software licenses are underutilized. Since these services are purchased as-needed on an expensed basis, this model provides you with flexibility and control over costs. In contrast, traditional HPC purchases require long budgeting cycles, tie up large amounts of capital, and lock you into a long-term depreciation cycle.

Another utility computing benefit many people forget about is that utility computing can save a lot of time and money compared to purchasing and provisioning a new HPC environment on your own. It takes a typical organization at least six weeks to purchase and provision a new HPC environment or an addition to their current infrastructure if done on their own. However, if the same level of resource is acquired through utility computing, it can be up and running in literally a few days. An organization like HP can set up the configuration faster because we have the expertise, and we are set up to do it. We do it every day.

HPCwire: There is so much hype about utility computing today, how do you choose a vendor? What should an HPC architect look for?

Lindsey: Not surprisingly, many claims are being made about this new model. When you are trying to decipher the facts, look for providers that have real-world experience in delivering this new class of solutions.

Make certain that the vendor you are considering is a recognized leader in delivering HPC solutions for analytics applications, for instance, where much of the activity is today. The ability to service the associated peak-demand requirements of real customers across a number of specialized industries is an indicator of competence in the emerging utility climate. In addition, look to see if the vendor has made significant investments in utility and grid technology research over a number of years. Look for leadership in industry venues such as the Global Grid Forum and the Enterprise Grid Alliance. Consider whether substantial capital commitment to a global service infrastructure is in place to enable delivery of the scalable, flexible capacity needed to meet both planned and unpredictable peaks in demand. Finally, make sure the security model is robust enough to keep your IP safe; safe from outsiders and protected from inadvertent disclosure by the vendor.

HPCwire: Why should someone choose HP if they are considering a move into utility computing?

Lindsey: Experience and industry involvement is what sets HP apart from others in the utility computing arena. HP is a leader in the utility market today and has done all of the things I listed in my previous answer for things to look for in a vendor. Long-term research at HP Labs has been at the forefront of utility computing technology for more than a decade, providing a solid foundation for HP's utility computing solutions. The utility approach to computing is core to HP's vision of an Adaptive Enterprise, where business and IT are synchronized to capitalize on change.

HP is the market leader in HPC and has been for three consecutive years according to IDC. Our utility computing solutions leverage this HPC knowledge and capability to deliver the best experience and performance in the industry. We are actively involved in setting up the flexible computing model for our customers today, and we continue to explore future scenarios. We are continually seeking solutions that meet tomorrow's utility-computing challenges in the critical areas of business model, governance, infrastructure, and utility trust and security.

In addition to experience, several other important factors differentiate HP from the competition: world-class, industry-standard products; extremely high levels of security; comprehensive application ISV partnerships, flexibility in pricing and offerings, and a strong focus on vertical HPC solutions.

HPCwire: In November of last year, HP announced their latest utility computing offering — HP Flexible Computing Services. Can you tell us about this service?

Lindsey: HP Flexible Computing Services bring together our industry-leading infrastructure components and application-vendor solutions to provide organizations with secure, reliable, and scalable utility computing services. The cost-per-unit pricing of HP Flexible Computing Services is ideal for customers with compute-intensive jobs that can outstrip the capacity found even in well-equipped HPC environments.

Of particular interest for HPC customers is our Application Provisioning Service (APS) for CAE, which is an industry first. This complete application utility service includes many leading CAE applications for structural, crash, and fluid analysis. Some of HP's partners in this program include Abaqus, Fluent, LSTC, and MSC.Software. These partners provide CAE software on the utility infrastructure with the goal of enabling customers to access and pay for the entire computing stack — the hardware, operating system, and application software — on a flexible payment basis.

In addition to the Application Provisioning Service, HP's Flexible Computing Services portfolio includes the basic Infrastructure Provisioning Service (IPS) that provides a highly available IT infrastructure utility service with enhanced security delivered out of HP's world-class data centers. The next level, IPS+, includes the basic service, plus HP installs and manages workload and grid management software and/or software development environments for application developers. The APS includes either of these services, combined with the installation of key vertical industry application software to a qualified configuration.

HP's flexible computing solution may include HP ProLiant servers, Integrity servers, HP StorageWorks arrays, ProCurve networking products, support from world-class data center facilities, proven HP management capabilities, and expertise in Linux, HPUX and Microsoft Windows. And to help customers get started in utility computing in a low-risk, low-cost way, HP offers “a try before you buy” option.

HPCwire: Could you explain this 'try before you buy' option in more detail?

Lindsey: Yes, I was referring to the HP Flexible Computing Club. HP is the first to offer a low-risk, low-cost way to determine whether utility computing is right for your business. This includes startup and consulting services and a 48-hour pilot project.

HPCwire: Many HPC directors hesitate to embrace the utility computing model because of security concerns. Security is a legitimate concern, correct?

Lindsey: Absolutely! When choosing a vendor, make certain that they can provide you with a level of security you can trust in all areas — physical security, network and data security, and data isolation.

HP systems are protected and secured physically and logically with detailed procedures and policies, using the best IT methodologies and corporate practices in existence. HP facilities have multiple layers of physical security, with strictly limited and audited biometrically controlled access to data center areas. System administration and management is performed by either the customer (HP turns over “root”) or trusted HP employees bound by HP's contractual obligations to our customers and by HP's internal Standards of Business Conduct. Customer workloads run in securely isolated network containers. Rigorous network security models protect against attacks from external and internal sources, and all customer applications and data are fully removed and scrubbed from memory and disk at the completion of an engagement.

HPCwire: What about reliability? How can an HPC manager be sure that resources will be available when they are needed?

Lindsey: HP Flexible Computing Services are delivered from HP's own world-class HPC facilities, in Tier 3 datacenters, staffed with skilled HPC professionals and featuring redundant power, environmental, and network capability to help maximize availability of the service. HP's service platform is designed for high system reliability under high duty-cycle loading. All platform components include availability features such as RAID 5/6 array storage, redundant trunked network links, redundant fans and power supplies, optimized cooling flow, and Integrated Lights-Out management. HP maintains multiple hot-spare compute nodes online at all times to help ensure fast restart of any lost jobs. Our utility platform is monitored and supported 24×7×365.

HPCwire: Do you have any HPC customers using the HP Flexible Computing Services?

Lindsey: Yes, HP has proven experience in a wide range of application areas. We are delivering utility solutions to such demanding clients as Abaqus (customer support, application QA and regression testing), and DreamWorks Animation (CG animation rendering for feature films).

—–

Norman Lindsey Norman serves as the Chief Architect for Flexible Computing Services at Hewlett-Packard, active in customer interactions and strategic planning. Norman's background includes more than twenty years experience in various HPC roles. As part of his HPC achievements at HP, Norman has led the CAE program to a top ranked market position and is currently leading HP's utility computing solutions.

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!

2017 Gordon Bell Prize Finalists Named

October 23, 2017

The three finalists for this year’s Gordon Bell Prize in High Performance Computing have been announced. They include two papers on projects run on China’s Sunway TaihuLight system and a third paper on 3D image recon Read more…

By John Russell

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together about 30 participants from industry, government and academia t Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

HPE Extreme Performance Solutions

Transforming Genomic Analytics with HPC-Accelerated Insights

Advancements in the field of genomics are revolutionizing our understanding of human biology, rapidly accelerating the discovery and treatment of genetic diseases, and dramatically improving human health. Read more…

Researchers Scale COSMO Climate Code to 4888 GPUs on Piz Daint

October 17, 2017

Effective global climate simulation, sorely needed to anticipate and cope with global warming, has long been computationally challenging. Two of the major obstacles are the needed resolution and prolonged time to compute Read more…

By John Russell

Data Vortex Users Contemplate the Future of Supercomputing

October 19, 2017

Last month (Sept. 11-12), HPC networking company Data Vortex held its inaugural users group at Pacific Northwest National Laboratory (PNNL) bringing together ab Read more…

By Tiffany Trader

AI Self-Training Goes Forward at Google DeepMind

October 19, 2017

DeepMind, Google’s AI research organization, announced today in a blog that AlphaGo Zero, the latest evolution of AlphaGo (the first computer program to defeat a Go world champion) trained itself within three days to play Go at a superhuman level (i.e., better than any human) – and to beat the old version of AlphaGo – without leveraging human expertise, data or training. Read more…

By Doug Black

Student Cluster Competition Coverage New Home

October 16, 2017

Hello computer sports fans! This is the first of many (many!) articles covering the world-wide phenomenon of Student Cluster Competitions. Finally, the Student Read more…

By Dan Olds

Intel Delivers 17-Qubit Quantum Chip to European Research Partner

October 10, 2017

On Tuesday, Intel delivered a 17-qubit superconducting test chip to research partner QuTech, the quantum research institute of Delft University of Technology (TU Delft) in the Netherlands. The announcement marks a major milestone in the 10-year, $50-million collaborative relationship with TU Delft and TNO, the Dutch Organization for Applied Research, to accelerate advancements in quantum computing. Read more…

By Tiffany Trader

Fujitsu Tapped to Build 37-Petaflops ABCI System for AIST

October 10, 2017

Fujitsu announced today it will build the long-planned AI Bridging Cloud Infrastructure (ABCI) which is set to become the fastest supercomputer system in Japan Read more…

By John Russell

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

Intel Debuts Programmable Acceleration Card

October 5, 2017

With a view toward supporting complex, data-intensive applications, such as AI inference, video streaming analytics, database acceleration and genomics, Intel i Read more…

By Doug Black

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

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

US Coalesces Plans for First Exascale Supercomputer: Aurora in 2021

September 27, 2017

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, in Arlington, Va., yesterday (Sept. 26), it was revealed that the "Aurora" supercompute Read more…

By Tiffany Trader

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

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

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

GlobalFoundries Puts Wind in AMD’s Sails with 12nm FinFET

September 24, 2017

From its annual tech conference last week (Sept. 20), where GlobalFoundries welcomed more than 600 semiconductor professionals (reaching the Santa Clara venue Read more…

By Tiffany Trader

Leading Solution Providers

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

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

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

Delays, Smoke, Records & Markets – A Candid Conversation with Cray CEO Peter Ungaro

October 5, 2017

Earlier this month, Tom Tabor, publisher of HPCwire and I had a very personal conversation with Cray CEO Peter Ungaro. Cray has been on something of a Cinderell Read more…

By Tiffany Trader & Tom Tabor

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

Intel Launches Software Tools to Ease FPGA Programming

September 5, 2017

Field Programmable Gate Arrays (FPGAs) have a reputation for being difficult to program, requiring expertise in specialty languages, like Verilog or VHDL. Easin Read more…

By Tiffany Trader

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

HPC Chips – A Veritable Smorgasbord?

October 10, 2017

For the first time since AMD's ill-fated launch of Bulldozer the answer to the question, 'Which CPU will be in my next HPC system?' doesn't have to be 'Whichever variety of Intel Xeon E5 they are selling when we procure'. Read more…

By Dairsie Latimer

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