Middleware Is Cool

By Tiffany Trader

April 16, 2013

There was a quote that made the rounds during Adaptive Computing’s annual user conference, MoabCon, last week in Park City, Utah. Upon his departure from Facebook last year, founder of the social media behemoth’s data analysis team, Jeff Hammerbacher, stated: “The best minds of my generation are thinking about how to make people click ads…[and] that sucks.”

During his keynote address, Adaptive Computing CEO Rob Clyde shared these words and then addressed the roomful of HPCers.

“Well, I can tell you that’s not what we do in this business,” he stated. “We are trying to cure cancer and perform rocket science, and do amazing things with predicting the weather, and ocean currents, and seismic research – some of the most relevant things that are happening in the world, and our industry is involved in that.”

Adaptive’s Cool Cred

Despite the long list of impressive accomplishments that middleware enables, it generally fails to elicit the same excitement as, say, brand-new leadership class hardware. But middleware is cool and you don’t have to take Adaptive’s word for it. This newfound status was issued by none other than technology analyst firm, Gartner, Inc., which included Adaptive in its “Cool Vendors in Cloud Management, 2013” report.

The report, which covers five vendors who are providing cloud management platform and/or cloud migration capabilities, is aimed at “CIOs, vice presidents (VPs) and directors of IT, as well as enterprise and infrastructure architects looking to deliver cloud-based, on-demand services that require infrastructure optimization (workload balancing).” Gartner notes that “service providers may also be interested in this solution, due to its ability to optimize the infrastructure, thus dropping service delivery costs.”

The Adaptive CEO was honored by the recognition. As he shared with HPCwire, the company’s cloud management product, Moab Cloud Suite, enables IT architects and the enterprises they work for to realize cloud’s promise of maximum return on investment through the optimization of resource utilization.

At its core, Adaptive’s cloud solution relies on the same Moab intelligence engine as the vendor’s HPC suite, which supports ground-breaking science and technology by delivering policy-based governance to the largest systems in the world, the ones engaged in hero problems, like curing deadly diseases and protecting our nuclear arsenal.

On the analyst’s website, Gartner Vice President Michele Cantara describes the qualities of a Cool Vendor. “A cool vendor is a smaller lesser-known vendor – someone who provides innovative technology or services,” she says. “And they’re lesser known because they’re less mature and they haven’t gotten attention from the media or Gartner.”

The Adaptive CEO agrees with the assessment, noting that Adaptive’s commitment to innovation is reflected in the company’s extensive patent portfolio, one of the largest related to private cloud computing. “We work hard to push the envelope of what is possible and have invented many of the core concepts behind HPC scheduling and private cloud optimization,” adds Marketing VP Chad Harrington.

Gartner observes that cool vendors are a good source of leading indicators about what’s to come. On that note, Clyde says that private cloud will continue to grow. He observes that many of the problems of private cloud have already been solved on the HPC side, for example scalability and efficient use of resources. The CEO referred to a recent survey on server utilization put out by the Uptime Institute that showed a global average efficiency rating of less than 10 percent. As energy continues to be a constraint on systems large and small, efficient system usage will become essential, and this is a major focus for the company.

Getting the Cool Vendor stamp of approval is also a good indicator of a recipient’s future success. The analyst has profiled more than 1,400 cool vendors since 2004, and 70 percent are still operating and in business, while 21 percent have been part of a merger or acquisition.

Next >> Adaptive @Scale

Adaptive @Scale

The past 12 months have been particularly fruitful for the company. The Oak Ridge Titan supercomputer, one of their customers, is the reigning TOP500 champ, and the University of Tennessee’s Beacon machine, another Moab system, is number one on the Green500 list.

“We love big, complex systems,” the CEO shared during his MoabCon keynote. “We certainly can handle others, but we want to make sure that we can run on the largest of the large. Our theory is if we can run on the largest systems, then we can run on everything else.”

He observes that Adaptive’s partners share a similar strategy: “Cut your teeth on the big complex tasks, and the rest falls into place.”

If a prospective customer asks, “How do we know your product will scale?” Adaptive can respond: “Well we already run on the largest systems in the world.”

For a small company of just over 100 employees, Adaptive has a big presence as the largest provider of HPC and private cloud workload management software. I ask Clyde how they do it, and he doesn’t miss a beat: “It’s our partners and customers,” he responds. Adaptive has strong ties to nearly all the major labs and solid relationships with HPC rock stars such as Cray, HP, IBM and Intel.

Inaugural Adaptie Awards

The conference also set the stage for the first annual Adaptie Awards, which recognize organizations and individuals that have pushed the envelope on technological progress. There were three awards in all.

Best Use of Moab in a Private Cloud was given to Bank of America. The financial institution was honored for using Adaptive Computing’s Moab Cloud Suite for its high density, service oriented virtualized compute platform. An early innovator in private cloud, the bank runs one of the most advanced, large scale privately managed IT setups of its kind.

Best Use of Moab in HPC went to the National Oceanic and Atmospheric Administration (NOAA). The federal agency was chosen for its pioneering use of Adaptive Computing’s Moab HPC Suite to develop better models for predicting climate variability and change.

The Lifetime Achievement award was presented to Don Maxwell, HPC systems team lead at Oak Ridge National Laboratory (ORNL), home of the Titan supercomputer. Maxwell has made many significant contributions to the HPC industry. He was instrumental in providing both requirements and testing for the initial port of Moab to the Cray X-series platform. In 2008, he was awarded the distinguished ACM Gordon Bell Prize for helping the ORNL Jaguar supercomputer achieve 400+ teraflops sustained performance. Currently, Maxwell is helping Titan achieve its performance goals. Maxwell is held in high-esteem by his peers, which was clear from the audience’s reaction to his winning the award.

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!

HPE Server Shows Low Latency on STAC-N1 Test

February 22, 2017

The performance of trade and match servers can be a critical differentiator for financial trading houses. Read more…

By John Russell

HPC Financial Update (Feb. 2017)

February 22, 2017

In this recurring feature, we’ll provide you with financial highlights from companies in the HPC industry. Check back in regularly for an updated list with the most pertinent fiscal information. Read more…

By Thomas Ayres

Rethinking HPC Platforms for ‘Second Gen’ Applications

February 22, 2017

Just what constitutes HPC and how best to support it is a keen topic currently. Read more…

By John Russell

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

HPE Extreme Performance Solutions

O&G Companies Create Value with High Performance Remote Visualization

Today’s oil and gas (O&G) companies are striving to process datasets that have become not only tremendously large, but extremely complex. And the larger that data becomes, the harder it is to move and analyze it – particularly with a workforce that could be distributed between drilling sites, offshore rigs, and remote offices. Read more…

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

ExxonMobil, NCSA, Cray Scale Reservoir Simulation to 700,000+ Processors

February 17, 2017

In a scaling breakthrough for oil and gas discovery, ExxonMobil geoscientists report they have harnessed the power of 717,000 processors – the equivalent of 22,000 32-processor computers – to run complex oil and gas reservoir simulation models. Read more…

By Doug Black

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

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

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

IDC: Will the Real Exascale Race Please Stand Up?

February 21, 2017

So the exascale race is on. And lots of organizations are in the pack. Government announcements from the US, China, India, Japan, and the EU indicate that they are working hard to make it happen – some sooner, some later. Read more…

By Bob Sorensen, IDC

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

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

Drug Developers Use Google Cloud HPC in the Fight Against ALS

February 16, 2017

Within the haystack of a lethal disease such as ALS (amyotrophic lateral sclerosis / Lou Gehrig’s Disease) there exists, somewhere, the needle that will pierce this therapy-resistant affliction. Read more…

By Doug Black

Azure Edges AWS in Linpack Benchmark Study

February 15, 2017

The “when will clouds be ready for HPC” question has ebbed and flowed for years. Read more…

By John Russell

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

Cray Posts Best-Ever Quarter, Visibility Still Limited

February 10, 2017

On its Wednesday earnings call, Cray announced the largest revenue quarter in the company’s history and the second-highest revenue year. Read more…

By Tiffany Trader

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

US, China Vie for Supercomputing Supremacy

November 14, 2016

The 48th edition of the TOP500 list is fresh off the presses and while there is no new number one system, as previously teased by China, there are a number of notable entrants from the US and around the world and significant trends to report on. Read more…

By Tiffany Trader

Lighting up Aurora: Behind the Scenes at the Creation of the DOE’s Upcoming 200 Petaflops Supercomputer

December 1, 2016

In April 2015, U.S. Department of Energy Undersecretary Franklin Orr announced that Intel would be the prime contractor for Aurora: Read more…

By Jan Rowell

D-Wave SC16 Update: What’s Bo Ewald Saying These Days

November 18, 2016

Tucked in a back section of the SC16 exhibit hall, quantum computing pioneer D-Wave has been talking up its new 2000-qubit processor announced in September. Forget for a moment the criticism sometimes aimed at D-Wave. This small Canadian company has sold several machines including, for example, ones to Lockheed and NASA, and has worked with Google on mapping machine learning problems to quantum computing. In July Los Alamos National Laboratory took possession of a 1000-quibit D-Wave 2X system that LANL ordered a year ago around the time of SC15. Read more…

By John Russell

Enlisting Deep Learning in the War on Cancer

December 7, 2016

Sometime in Q2 2017 the first ‘results’ of the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) will become publicly available according to Rick Stevens. He leads one of three JDACS4C pilot projects pressing deep learning (DL) into service in the War on Cancer. Read more…

By John Russell

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

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

CPU Benchmarking: Haswell Versus POWER8

June 2, 2015

With OpenPOWER activity ramping up and IBM’s prominent role in the upcoming DOE machines Summit and Sierra, it’s a good time to look at how the IBM POWER CPU stacks up against the x86 Xeon Haswell CPU from Intel. Read more…

By Tiffany Trader

Leading Solution Providers

Nvidia Sees Bright Future for AI Supercomputing

November 23, 2016

Graphics chipmaker Nvidia made a strong showing at SC16 in Salt Lake City last week. 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

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

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

Dell Knights Landing Machine Sets New STAC Records

November 2, 2016

The Securities Technology Analysis Center, commonly known as STAC, has released a new report characterizing the performance of the Knight Landing-based Dell PowerEdge C6320p server on the STAC-A2 benchmarking suite, widely used by the financial services industry to test and evaluate computing platforms. The Dell machine has set new records for both the baseline Greeks benchmark and the large Greeks benchmark. Read more…

By Tiffany Trader

What Knights Landing Is Not

June 18, 2016

As we get ready to launch the newest member of the Intel Xeon Phi family, code named Knights Landing, it is natural that there be some questions and potentially some confusion. Read more…

By James Reinders, Intel

KNUPATH Hermosa-based Commercial Boards Expected in Q1 2017

December 15, 2016

Last June tech start-up KnuEdge emerged from stealth mode to begin spreading the word about its new processor and fabric technology that’s been roughly a decade in the making. Read more…

By John Russell

Intel and Trump Announce $7B for Fab 42 Targeting 7nm

February 8, 2017

In what may be an attempt by President Trump to reset his turbulent relationship with the high tech industry, he and Intel CEO Brian Krzanich today announced plans to invest more than $7 billion to complete Fab 42. Read more…

By John Russell

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