Seven ORNL Researchers Named 2019 INCITE Award Winners

November 21, 2018

OAK RIDGE, Tenn., Nov. 21, 2018 —Seven researchers from the Department of Energy’s Oak Ridge National Laboratory have been chosen by the Innovative and Novel Computational Impact on Theory and Experiment, also known as INCITE, program to lead scientific investigations that require the nation’s most powerful computers.

INCITE awards computing time via a proposal process to researchers seeking to harness the power of DOE computing systems at the Argonne and Oak Ridge Leadership Computing Facilities to solve some of the world’s greatest scientific challenges.

Since INCITE’s inception in 2004, the ALCF and OLCF have continuously undergone significant upgrades to retain their edge in facilitating the most computationally demanding scientific projects. The ALCF’s most recent machine is Theta, an 11.69-petaflop Cray XC40 system whose 280,000-plus cores make it ideal for research at the nexus of simulation, data science, and machine learning. An even more powerful system, the exascale Aurora, is planned for deployment in 2021 and is projected to be capable of a quintillion (one billion billion) calculations per second.

The OLCF, meanwhile, boasts the 27-petaflop Titan supercomputer, a Cray XK7 hybrid system powered by both CPUs and GPUs across nearly 19,000 nodes. Most importantly, beginning in January 2019, OLCF’s new 200-petaflop supercomputer, Summit, an IBM AC922 machine, will be available to users for the first time during this INCITE allocation cycle.

The ORNL-based projects span a broad range of the scientific spectrum and represent the potential of high-performance computing in ensuring America’s scientific competitiveness and energy security.

“Not only is ORNL home to world-class supercomputers, but we are also home to some of the world’s best researchers in computing and domain sciences,” said Jeff Nichols, ORNL’s associate laboratory director for computing and computational sciences. “These awards are both a critical resource for researchers tackling some of the nation’s most complex energy challenges and a testament to the laboratory’s expertise across the scientific spectrum.”

The ORNL awardees are:

  • Markus Eisenbach, of the laboratory’s National Center for Computational Sciences, who will lead the “First Principles Investigation of Solid State Phase Transitions” project to explore properties such as phase transitions in magnetic and disordered materials to achieve a better understanding of magnetism and functional materials.
  • Gaute Hagen of ORNL’s Physics Division, who will lead the “Ab-initio Nuclear Structure and Nuclear Reactions” project, using applied mathematics, computer science, and physics to accurately describe the atomic nucleus in its entirety. The results will assist predictions in nuclear energy, nuclear security, astrophysics, and basic scientific research.
  • W. Raphael Hix, likewise of ORNL’s Physics Division, who will lead the “Three-dimensional Simulations of Rotating and Non-rotating Core-collapse Supernovae” project to explore the impact of rotation on the explosions of stars much more massive than our Sun. The results will shed much-needed light on one of astrophysics’ most important phenomena, especially their potential to be detected by gravitational wave observatories such as the Laser Interferometer Gravitational-Wave Observatory (LIGO).
  • Paul Kent, of the laboratory’s Computational Sciences and Engineering (CSE) division, who will lead the “Predictive Simulations of Functional Materials” project, using new computational methods combined with experimental validation to help identify new materials candidates for energy-related technologies.
  • Nouamane Laanait, likewise of CSE, who will lead the “Decoding an 80-year-old Inverse Problem with Distributed Deep Learning” project, using distributed artificial intelligence algorithms on Summit to reconstruct the three-dimensional atomic configurations of materials from electron microscopy/scattering data. This effort will reveal local properties of quantum materials central to advances in computing and energy.
  • CSE’s Thomas Maier, who will lead the “Computational Studies of Correlated Quantum Materials” project. Such materials show enormous potential in advancing numerous energy-related technologies but first require a greater understanding of their physics, which in turn requires large-scale computing systems such as those managed by DOE.
  • Jeremy Smith of ORNL’s Biosciences division, who is investigating the recalcitrance of biomass by leading the “Solvent Disruption of Biomass for the Production of Biofuels and Bioproducts” project. The effort seeks to apply state-of-the-art molecular dynamics simulations to determine the physical properties of successful biomass solvents and, by extension, achieve cheaper, more efficient biofuels and other high-value chemicals.

“This year’s INCITE selections represent the cutting edge in computational science,” said Judy Hill, INCITE Program Manager and group leader for the Scientific Computing Group at ORNL’s National Center for Computational Sciences. “Only the most advanced computers in the world are capable of accommodating the complexity necessary to solve these critical scientific challenges.”

For more information on these projects, click here.

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


Source: ORNL

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!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire