INCITE Grants Awarded to 62 Computational Research Projects

November 12, 2018

Nov. 12, 2018 — The U.S. Department of Energy’s (DOE) Office of Science announced 62 projects for 2019 aimed at accelerating discovery and innovation to address some of the world’s most challenging science problems through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program. Deploying on supercomputers that rank among the country’s most powerful, the projects originate in national laboratories, academia, and industry, and encompass a remarkable range of scientific inquiry.

The awards allocate the resources of the DOE Leadership Computing Facilities at DOE’s Argonne and Oak Ridge National Laboratories. The two centers jointly manage the INCITE program as a principal conduit for their dedication to open science. As the primary means to access the facilities’ computing resources, INCITE proposals are awarded on a highly competitive basis. Projects span disciplines ranging from high-energy physics and materials science to biochemistry and engineering. Computational and domain scientists at the facilities partner with investigators to develop new computational methods, assist and optimize code development, streamline workflows, analyze and visualize data, and troubleshoot glitches.

The breakthroughs these projects could affect have the potential to fundamentally alter the scientific landscape as we know it. Some of them will build on previous research to move in new and exciting directions, while others are wholly original,” said Michael E. Papka, director of the Argonne Leadership Computing Facility (ALCF), a DOE Office of Science User Facility. ​However, because of their scale, these problems really cannot be tackled elsewhere. And the world-class expertise of our staff is as essential to the success of this work as the machines themselves.”

The array of projects we have lined up for 2019 continues to reflect a computational portfolio aimed at making major scientific advances across a broad range of science and engineering disciplines,” said James Hack, director of the National Center for Computational Sciences, which houses the Oak Ridge Leadership Computing Facility (OLCF), a DOE Office of Science User Facility. ​We look forward to enabling some of the most sophisticated computational science research occurring anywhere in the world.”

The INCITE program commenced in 2004 with three inaugural projects totaling five million core hours. Since then, 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 with 280,000-plus cores to 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 2019OLCF’s new 200-petaflop supercomputer, Summit, an IBMAC922 machine, will be available to users for the first time during this INCITE allocation cycle.

For a complete list of 2019 INCITE awards, please visit: http://​www​.doe​lead​er​ship​com​put​ing​.org/​a​w​a​r​d​s​/​2019​I​N​C​I​T​E​F​a​c​t​S​h​e​e​t​s.pdf.

Highlights of the 2019 allocations include:

  • Alexander Tchekhovskoy from Northwestern University received 850,000 Summit node-hours to address two longstanding mysteries in astrophysics: how neutron star collisions produce heavy elements like gold and platinum, and how black holes break up red-hot disks of gas feeding them.
  • Sean Dettrick from TAE Technologies received 750,000 Theta node-hours to perform simulations that will accelerate the company’s experimental research program in the magnetic confinement of plasmas, with the goal of creating a clean, commercially viable, fusion-based electricity generator.
  • Ron Dror from Stanford University received 4,540,000 Titan node-hours and 400,000Summit node-hours to reveal how drug receptors select which signaling proteins to activate so as to enable the development of finely tuned medicines that yield desired effects with fewer side effects.
  • Janet Scheel from Occidental College received 12,500,000 Mira node-hours to simulate turbulent heated convection in air at the highest Rayleigh numbers ever obtained in a direct numerical simulation. The results will shed light on the ultimate régime of convective turbulence where there should be significantly enhanced heat transport.
  • Dario Alfe from University College London received 1,210,000 Titan node-hours and 40,000 Summit node-hours to perform quantum Monte Carlo simulations that will provide high-accuracy data for the adsorption of water on graphene. This data will have applications in water purification, desalinisation and drug delivery.
  • Aleksandr Obabko from Argonne received 17,700,000 Mira node-hours for thermal-hydraulics simulations of nuclear reactors to enable better reactor designs.

The INCITE program promotes transformational advances in science and technology through large allocations of time on state-of-the-art supercomputers. For more information, please visit: http://​www​.doe​lead​er​ship​com​put​ing​.org/​i​n​c​i​t​e​-​p​r​o​gram/

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.


Source: Argonne 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!

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. 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. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

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

March 18, 2024

Nvidia's latest and fastest GPU, code-named 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…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech 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…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y 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…

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…

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…

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

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…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N 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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire