This Week in HPC News

By Nicole Hemsoth

February 13, 2014

It’s been a relatively quiet week in terms of major vendor or supercomputing center announcements, outside of the one key piece of news from Cray’s $43 million deal to provide the Department of Defense (DOD) High Performance Computing Modernization Program (HPCMP) with three Cray XC30 supercomputers and two Cray Sonexion storage systems.

Although we reported on the initial word last week in our update, it’s official–Cray will deliver a Cray XC30 supercomputer and a Cray Sonexion storage system to the U.S. Air Force Research Laboratory (AFRL) located at the Wright Patterson Air Force Base in Ohio. Cray will also deliver two Cray XC30 supercomputers and a Cray Sonexion storage system to the Navy DOD Supercomputing Resource Center (Navy DSRC) located at the Stennis Space Center in Mississippi.

“Supercomputing is a critical enabler for the wide variety of science, technology, test, evaluation, and acquisition engineering communities that the DOD HPC Modernization Program supports,” observed John West, director of the DOD’s High Performance Computing (HPC) Modernization Program. “These new systems are a key component of our strategy of making sure the DOD’s scientists and engineers have access to the most modern, capable, and usable computational tools available. We are especially pleased that the successful completion of this purchase marks the realization of the potential value of our streamlined process for large system acquisition, with benefits for both the government and our commercial partners.”

Speaking of good news for Cray…

Financial Results Validate Expected HPC Growth

As expected, things are looking up for the supercomputing company, which just announced its financial results for the year and fourth quarter of 2013. For the entire year, the company’s revenue went from $421 million and change in 2012 up to $525 million. For their final quarter of 2013, revenue was just over $307 million compared to $188.8 million the year before.

cray_logo“We had a great year in 2013, led by strong growth in both supercomputing and big data,” said Peter Ungaro, president and CEO of Cray. “We set company records for annual and quarterly revenue as we completed the acceptance of more supercomputers during the fourth quarter than we have in any quarter in our history. Our XC30 and CS300 supercomputers are in strong competitive positions, providing customers with the most scalable, productive systems for real-world, scientific and commercial applications. In big data storage and analytics, we have a unique and growing set of offerings, including our Urika data discovery appliance and our new Tiered Adaptive Storage solution to transparently manage and access data across a storage hierarchy.  2013 was undoubtedly a great year for Cray and with continued strength in our supercomputing business and expanding big data solutions, I am excited about our potential to deliver continued growth in 2014 and beyond.”

Some highlights from Cray’s year:

In February, Cray won two new supercomputing contracts totaling more than $40 million to provide the Department of Defense High Performance Computing Modernization Program with three Cray XC30 supercomputers and two Cray Sonexion storage systems.

•   In November, Cray was awarded a $30 million contract by the University of Stuttgart to expand the XC30 supercomputer, nicknamed “Hornet” at the University’s High Performance Computing Center Stuttgart (HLRS).   T

•   In November, Cray announced that the Cray Compiler Environment (CCE) is now available on the Cray CS300 line of cluster supercomputers.

•   In November, Cray announced that its CS300 and XC30 supercomputers are now available with NVIDIA Tesla K40 GPU accelerators.

•   In November, Cray launched a new big data framework that gives Cray customers the ability to more easily implement and run Apache Hadoop on the XC30 supercomputer.

•   Cray’s YarcData division signed multiple new contracts with commercial and government customers for its Urika big data discovery appliance.

•   In November, Cray was awarded an industry-leading 10 HPCwire awards from the readers and editors of HPCwire.

For 2014, while a wide range of results remains possible, the Company anticipates revenue to be in the range of $600 million for the year.

NVIDIA Complements Positive HPC Financial Trends…

NVIDIAThis week the company reported revenue for the fourth quarter of fiscal 2014, ended Jan. 26, 2014, of $1.14 billion, up 8.6 percent from $1.05 billion in the previous quarter.

In addition to their consumer GPU business, Jen-Hsun Huang, president and chief executive officer of NVIDIA said, “Tesla and Quadro both achieved record annual revenue.” He also noted that their GRID cloud technology is being evaluated at hundreds of large enterprises worldwide, although did not comment on expected growth in that segment, which was unveiled at last year’s GTC.

Among NVIDIA’s highlights for the year, including big wins in our HPCwire Editor’s Choice and Reader’s Choice awards are:

The launch of the Tesla K40 accelerator for supercomputing and big data analytics.

Partnership with IBM to build supercomputers for the HPC community and accelerate enterprise data analytics applications with GPUs.

And as a sign of things to come, they demonstrated Denver, NVIDIA’s custom 64-bit ARM core inside Tegra K1.

In Other News:

Fujitsu announced Shinshu University will deploy a Fujitsu supercomputer system in its R&D facility to newly develop innovative water-filtration and water-circulation systems. The new system, set to go online in July 2014, will comprise a cluster of 16 FUJITSU Server PRIMERGY RX200 S8 x86 servers, and a single FUJITSU Supercomputer PRIMEHPC FX10.

Shinshu University plans to use the new system to move forward on R&D into revolutionary new water filtration and circulation systems that use nanocarbon and other materials, so as to ensure an adequate supply of water for people around the world.

Blue Waters Advisory Committee Named – The Science and Engineering Team Advisory Committee (SETAC) brings together a diverse group of Blue Waters users to provide guidance on the project’s growth and development through an end-user perspective.

The list includes:

  • Paul Woodward, Physics and Astrophysics, University of Minnesota
  • Tom Cheatham, Chemistry, University of Utah
  • Patrick Reed, Civil and Environmental Engineering – Systems Optimization, Cornell
  • Klaus Schulten, Physics and Molecular Dynamic, University of Illinois Urbana-Champaign
  • David Ceperley, Physics and Material Science, University of Illinois Urbana-Champaign
  • Tiziana Di Matteo, Physics and Cosmology, Carnegie Mellon University
  • Dave Randall, Atmospheric Sciences and Climate, Colorado State University
  • Joe Paris, Academic & Research Technologies in Information Technology, Northwestern University (Chair for 2013/2014, followed by Jorge Vinals, Structural Mechanics and Biophysics, University of Minnesota, Chair for 2014/2015)
  • So Hirata, Chemistry, University of Illinois at Urbana-Champaign
  • Rick Authur, General Electric Global Research, Computer and Software Engineering

Moving on from NCSA…

ANSYS users can now leverage NVIDIA GPUs to speed up fluid dynamics simulation and handle large, complex simulation models. Available for the first time with ANSYS Fluent 15.0, the jointly developed GPU-accelerated commercial computational fluid dynamics (CFD) solver broadens support for NVIDIA GPUs across the ANSYS simulation portfolio, building upon the previous success with GPU support in ANSYS Mechanical.

That just about wraps up the week’s news—be sure to check our Off the Wire section for even more news that didn’t make the “Week in Review” cut here and thanks again for tuning in.

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!

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

Weekly Twitter Roundup (Feb. 23, 2017)

February 23, 2017

Here at HPCwire, we aim to keep the HPC community apprised of the most relevant and interesting news items that get tweeted throughout the week. Read more…

By Thomas Ayres

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

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…

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

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

Advancing Modular Supercomputing with DEEP and DEEP-ER Architectures

February 24, 2017

Knowing that the jump to exascale will require novel architectural approaches capable of delivering dramatic efficiency and performance gains, researchers around the world are hard at work on next-generation HPC systems. Read more…

By Sean Thielen

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

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

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

Leading Solution Providers

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

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

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

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

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

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

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