LLNL Teams Recognized by Secretary of Energy Awards

January 13, 2020

Jan. 13, 2020 — Former Secretary of Energy Rick Perry recognized Lawrence Livermore National Laboratory (LLNL) staff with six Secretary’s Honor Awards at a ceremony at Department of Energy (DOE) headquarters. The Secretary’s Honor Awards are bestowed on teams that have achieved a singular accomplishment that demonstrates a high level of performance and dedication to public service. As his last address to DOE employees, Secretary Perry also thanked all DOE employees for their hard work and commitment to DOE’s mission.

Image courtesy of LLNL.

Foreign Nuclear Weapon Program Analysis Team

The Foreign Nuclear Weapon Program Analysis Team, a group of 10 LLNL researchers, was cited for contributing to a technically challenging, high-priority intelligence community assessment. The award citation noted that, “their expert analytic inputs and extraordinary dedication to an intensive and complete interagency coordination process resulted in an assessment that effectively examines and explains complex technical subjects…advancing the U.S. government’s understanding of a growing foreign nuclear threat and its implications for the Department of Energy and national security policy.”

“We’re grateful to the Department of Energy for recognizing the contribution of our multidisciplinary team to a U.S. national strategic priority and are honored that LLNL nominated us for this award,” team member Jennifer Swenson said. “My colleagues exemplify the qualities required to successfully meet the challenges of the Lab’s mission: dedication, technical rigor and the ability to create unique approaches to solving time-sensitive problems. The team continues to work collaboratively with our external partners to provide timely, analytic and technical support to inform policymaker decisions on this national security priority.”

Members of the team include: Patrick Beck, Mark Harper, Patrick Harwood, Mark McDaniel, Gary Rutledge, Cary Spencer, Jennifer Swenson, Guy Urbina, David Ward and Joseph Wasem.

Image courtesy of LLNL.

High-Value Component Design and Manufacture Team

Livermore’s 34-member High-Value Component Design and Manufacture Team received an award for, “their extraordinary efforts in which they successfully invented advanced materials, manufacturing and metrology technologies that have pushed the boundaries of what is possible and transformed the way our national security enterprise thinks about design, manufacturing and qualification for similar components. Faced with a challenging national security need, the team overcame long odds and an aggressive schedule to invent, design, manufacture, inspect and deliver a new high-value component both on schedule and on budget.”

“This award is recognition of the unbelievable innovation and creativity that results from bringing together a diverse yet cohesive team in pursuit of shared purpose — it’s something that only happens in places like Lawrence Livermore,” team member Eric Duoss said. “The recognition also speaks to our team’s ability to face innumerable and seemingly insurmountable obstacles, both technical and otherwise, and overcome them through a combination of determination, discovery and invention. It’s incredibly rewarding to contribute to LLNL’s mission and strengthen our nation’s security while advancing the frontier of scientific and engineering understanding. I thank everyone at LLNL and elsewhere who helped make this achievement possible.”

Team member Denis Richard added: “This award recognizes an exceptional effort that exemplifies the historical LLNL way of tightly integrating world-class subject matter experts and technical personnel within the weapon design process. In doing so, the honored team is enabling the insertion into the U.S. stockpile of technical solutions that strengthen our national nuclear deterrent. Beyond the remarkable technical achievements, this award is a recognition of the spirit of collaboration and partnership that has and will continue to make us successful in our mission to deliver security to the nation.”

Members of the team include: Eric Avalos, Steve Benson, Taylor Bryson, Mark Cunningham, Chuck Divin, Eric Duoss, Scott Fisher, Tim Ford, Stuart Gammon, Robin Gilbert-O’Neil, Alexandra Golobic, Dana Goto, Steve Guzorek, Sally Hall, Mark Herynk, Adam Jaycox, B.I. Jun, Jeremy Lenhardt, Jim Lewicki, Ward Small, Robert Maxwell, Christopher Spadaccini, Clif Mortensen, John Vericella, Jason Ortega, Todd Weisgraber, Mark Pearson, Josh Wen, Lemuel Perez, Thomas Wilson, Denis Richard, Amanda Wu, Ken Saito and Mitchell Shiflett.

Image courtesy of LLNL.

The Summit Sierra Team

The Summit Sierra team, consisting of 45 staff at Lawrence Livermore and Oak Ridge national laboratories and the Livermore Field Office, received a Secretary’s Achievement Award for delivering Summit at Oak Ridge National Laboratory and Sierra at LLNL, the two fastest computers in the world, according to the Top500 benchmark. The successful deployment and use of these computers are a culmination of a multi-year effort and partnership between the labs and the vendors IBM, NVIDIA and Mellanox. The citation notes that, “the Summit and Sierra procurements…are delivering breakthrough insights in science and national security. They have transformed the international landscape in high performance computing, and they will influence the modernization of future generations of computing throughout the Department of Energy complex.”

“Building and operating a scientific instrument that provides capabilities on the scale of Sierra requires tremendous effort,” team member Bronis de Supinski said. “We are honored that the secretary has recognized the teamwork and partnership that is enabling unprecedented simulations in support of the ASC program.”

LLNL members of the team include: Dong Ahn, Anna Bailey, Adam Bertsch, Ben Casses, Chris Deprater, Dave Fox, Robin Goldstone, Elsa Gonsiorowski, John Gyllenhaal, Brandon Hong, Ian Karlin, Matt Leininger, Michel McCoy, Adam Moody, Rob Neely, Terri Quinn, Bronis de Supinski, Gary Ward, Py Watson, and Lance Weems.

To read the full article, visit: https://www.llnl.gov/news/lab-teams-recognized-secretary-energy-awards

About Lawrence Livermore National Laboratory

For more than 60 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place. Livermore’s defining responsibility is ensuring the safety, security and reliability of the nation’s nuclear deterrent. Yet LLNL’s mission is broader than stockpile stewardship, as dangers ranging from nuclear proliferation and terrorism to energy shortages and climate change threaten national security and global stability. The Laboratory’s science and engineering are being applied to achieve breakthroughs for counterterrorism and nonproliferation, defense and intelligence, energy and environmental security.


Source:  Lawrence Livermore National Laboratory

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire