ORNL Wins Eight R&D 100 Awards

July 11, 2014

OAK RIDGE, Tenn., July 11 — Researchers at the Department of Energy’s Oak Ridge National Laboratory have received eight R&D 100 awards, presented by R&D Magazine in recognition of the year’s top technological innovations.

“These awards recognize the tremendous value of our National Labs,” said Secretary of Energy Ernest Moniz. “Research and development at the National Labs continues to help our nation address its energy challenges and pursue the scientific and technological innovations necessary to remain globally competitive.” 

The eight awards bring ORNL’s total of R&D 100 awards to 187 since their inception in 1963. This year, ORNL scientists and engineers received awards for the following technologies:

Continuously Variable Series Reactor, or CVSR, was developed by ORNL, SPX Transformer Solutions Inc. and the University of Tennessee. ORNL inventors were Aleksandar Dimitrovski and Burak Ozpineci.

The CVSR is a high power magnetic amplifier that controls power flow in power systems. In operation of power systems, where conditions constantly change, a single CVSR will provide smoothly variable alternating current circuit impedance, while a number of coordinated CVSR’s installed throughout the power system can provide full power system control. CVSR’s unique design helps to ensure full use of power system assets, increased reliability and efficiency and effective use of renewable resources.

The research was funded by DOE’s Advanced Research Project Agency-Energy under the Green Electricity Network Integration program.

Diagnosis Using the Chaos of Computing Systems, or DUCCS, was developed at ORNL by Nageswara Rao.

DUCCS ultra-lightweight software quickly and nonintrusively detects a variety of hardware faults in processing units, accelerators, memory elements and interconnects of large-scale high-performance computing systems such as supercomputers, clusters and server farms. The software combines chaotic map theory with advanced CPUs and CPU systems to detect component faults in systems that handle large computational problems such as scientific computations, weather predictions and web data processing. DUCCS software provides critical diagnosis information that contributes to the resilience of computing systems in terms of error-free computations and sustained capacity.

The research was funded by the DOE’s Mathematics of Complex, Distributed, Interconnected Systems Project, Applied Mathematics Program, Office of Advanced Scientific Computing Research.

High Performance Silicon Carbide based Plug-In Hybrid Electric Vehicle Battery Charger was jointly developed by Oak Ridge National Laboratory, Arkansas Power Electronics International, the University of Arkansas and Toyota. The ORNL team was Laura Marlino, Nance Ericson, Shane Frank and Chuck Britton.

This on-board battery charger technology for plug-in hybrid electric vehicles incorporates silicon carbide devices to provide 10 times the power density of current commercial charging systems, while delivering more efficient, higher power throughput for faster charging times. In addition, the charger significantly increases the vehicle’s range and the battery pack can be charged from any available single-phase AC power outlet, allowing for cheaper off-peak hour charging while promoting a decreased dependence on expensive fossil-based fuels.

The project was funded through an ARPA-E award.

Ionic Liquid Anti-wear Additives for Fuel-efficient Engine Lubricants was developed by ORNL, General Motors Research and Development Center, Shell Global Solutions and Lubrizol Corp. ORNL principal investigators were Jun Qu, Huimin Luo, Sheng Dai, Peter Blau, Todd Toops, Brian West and Bruce Bunting.

The technology employs a group of ionic liquids that can be mixed with common lubricating oils to form a nanostructured protective film on bearing surfaces that effectively reduces friction and wear. This ionic lubricant technology has the potential to save the United States millions of barrels of oil each year.

The research was sponsored by DOE’s Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office.

iSPM: Intelligent Software for Personalized Modeling of Expert Opinions, Decisions and Errors in Visual Examination Tasks was developed by Georgia Tourassi, Songhua Xu, Hong-Jun Yoon and Sophie Voisin of the Computational Sciences and Engineering Division at ORNL.

By combining innovative visual diagrams and pioneering analytic rule sets, iSPM helps analysts perform visual tasks such as making medical diagnoses. The software uses eye-tracking hardware, user-interaction and advanced analysis to predict a person’s perceptual behavior, cognitive response and risk of error for complex decision tasks. This technology could improve patients’ health outcomes and lower medical errors, while providers could pay lower malpractice costs. In addition, the software can be used in fields such as education and homeland security where experts also perform risk-sensitive visual tasks.

Funding for the research was provided by ORNL’s Laboratory Directed Research and Development Program.

Portable Aluminum Deposition System, or PADS, was developed by ORNL, the University of Mississippi and United Technologies Research Center. ORNL researchers were Sheng Dai, Xiao-Guang Sun and Youxing Fan.

The aluminum plating advancement is expected to replace hazardous coatings such as cadmium, thereby potentially strengthening the competiveness of United States manufacturing companies worldwide and cutting the cost of aluminum plating by a factor of 50 to 100. By using newly developed ionic liquid electrolytes and a novel electrolyte dispensing mechanism to deposit aluminum, PADS allows manufacturers to safely conduct aluminum deposition in open atmosphere for the first time.

Funding for this project was provided by the Department of Defense Strategic Environmental Research and Development Program.

The RF-DPF Diesel Particulate Filter Sensor was developed by Filter Sensing Technologies Inc., in collaboration with ORNL and Massachusetts Institute of Technology.  The ORNL team consisted of James Parks II, Vitaly Prikhodko, and John Storey.

The RF-DPF is a radio frequency-based sensor and control system used to measure the amount, type, and distribution of contaminants on filters. This technology provides rapid real-time assessment of soot on diesel particulate filters, which allows greater precision in filter control, thereby reducing fuel consumption and greenhouse gas emissions. The RF-DPF can be used with light- and heavy-duty diesel vehicles and may enable longer filter life and overall system cost savings.

The project was funded by Filter Sensing Technologies Inc., and the DOE Vehicle Technologies Office.

Super-hydro-tunable HiPAS Membranes were developed by ORNL. Inventors were Michael Hu, Matthew Sturgeon, Ramesh Bhave, Brian Bischoff, Tolga Aytug and Tim Theiss. 

This new class of membrane products can selectively separate molecules in the vapor/gas phase and perform liquid-phase separations, which could be especially useful in reducing the price of bio-ethanol, ethanol-gasoline blend fuels and drop-in fuels from bio-oil processing. The membrane acts as an energy-efficient alternative to the distillation process by using a superhydrophobic or superhydrophillic surface to separate molecules. The membrane’s larger pore sizes and architecture advantages drive never-before-achieved flow rates across membranes, sustaining characteristics key to repetitive or continuous operation under high pressures and temperatures. In addition to its potential in biofuel-based economies, these membranes could have a broad impact in chemical, pharmaceutical, petrochemical and gas separation industries.

This project was supported by ORNL’s Laboratory Directed Research and Development Program and by DOE’s Office of Energy Efficiency and Renewable Energy, Bioenergy Technologies Office.

UT-Battelle manages ORNL for the Department of Energy’s Office of Science. The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit http://science.energy.gov/.

Source: Oak Ridge National Laboratory

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!

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

Nvidia P100 Shows 1.3-2.3x Speedup Over K80 GPU on Financial Apps

April 20, 2017

When it comes to the true performance of the latest silicon, every end user knows that the best processor is the one that works best for their application. Read more…

By Tiffany Trader

Quantum Adds Global Smarts to StorNext File System

April 20, 2017

Companies that use Quantum’s StorNext platform to store massive amounts of data this week got a glimpse of new storage capabilities that should make it easier to access their data horde from anywhere in the world. Read more…

By Alex Woodie

HPE Extreme Performance Solutions

HPC-Driven Weather Simulations Improving Forecasting Capabilities

In September of 1938, a massive hurricane traversed the Atlantic Ocean and made landfall in New England. Due to inadequate and incorrect forecasting, the storm struck farther north and with greater intensity than had been predicted, leaving residents and authorities with virtually no warning or time to properly prepare. Read more…

Scaling an HPC Career in Nepal Can Be a Steep Climb

April 20, 2017

Umesh Upadhyaya works as an IT Associate at the International Centre for Integrated Mountain Development (ICIMOD) in Nepal, which supports the country’s one and only HPC facility. He is directly involved in an initiative that focuses on climate change and atmosphere modeling Read more…

By Nages Sieslack

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

Intel Open Sources All Lustre Work, Brent Gorda Exits

April 19, 2017

In a letter to the Lustre community posted on the Intel website, Vice President of Intel's Data Center Group Trish Damkroger writes that effective immediately the company will be contributing all Lustre development to the open source community. Damkroger also announced that Brent Gorda, General Manager, High Performance Data Division at Intel is leaving the company. Read more…

By Tiffany Trader

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

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

Penguin Takes a Run at the Big Cloud Providers

April 12, 2017

HPC specialist Penguin Computing recently re-ran benchmarks from a study of its larger brethren and says the results show its ‘public cloud’ – Penguin on Demand (POD) – is among the leaders in cost and performance. 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

HPC and the Colocation Datacenter – a Bridge Too Far?

April 7, 2017

A more standardised HPC platform approach is making the running of HPC projects within increasing financial reach. Read more…

By Clive Longbottom, Quocirca

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

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

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

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

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

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

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

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

US Supercomputing Leaders Tackle the China Question

March 15, 2017

Joint DOE-NSA report responds to the increased global pressures impacting the competitiveness of U.S. supercomputing. 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