ALCC Program Awards 1.5 Billion Hours of Computing Time at ALCF

July 27, 2018

July 27, 2018 — The U.S. Department of Energy’s (DOE) ASCR Leadership Computing Challenge (ALCC) has awarded 20 projects a total of 1.5 billion core-hours at the Argonne Leadership Computing Facility (ALCF), located at DOE’s Argonne National Laboratory, to pursue challenging, high-risk, high-payoff simulations.

The Advanced Scientific Computing Program (ASCR), which manages some of the world’s most powerful supercomputing facilities, selects projects every year in areas directly related to the DOE mission for broadening the community of researchers capable of using leadership computing resources, and serving national interests for the advancement of scientific discovery, technological innovation, and economic competitiveness.

The ALCC program allocates up to 20 percent of the computational resources at ASCR’s supercomputing facilities to research scientists in industry, academia, and national laboratories. In addition to ALCF, ASCR’s supercomputing facilities include Oak Ridge Leadership Computing Facility (OLCF) at Oak Ridge National Laboratory and the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. The ALCF, OLCF, and NERSC are DOE Office of Science User Facilities.

The 20 projects awarded time at the ALCF are noted below. Some projects received additional computing time at OLCF and/or NERSC. The awards began on July 1.

  • Ruth Van De Water from Fermi National Accelerator Laboratory received 247 million core-hours for “Semileptonic B- and D-Meson Form Factors with High-Precision.”
  • Robert Voigt from Leidos, Inc. received 100 million core-hours for “Demonstration of the Scalability of Programming Environments by Simulating Multi-Scale Applications.”
  • Peter Nugent from Lawrence Berkeley National Laboratory received 20 million core-hours for “HPC4 Energy Innovation ALCC End-Station.”
  • Brian Wirth from Oak Ridge National Laboratory and the University of Tennessee received 80 million core-hours for “Modeling Fusion Plasma Facing Components.”
  • Thomas Blum from the University of Connecticut received 162 million core-hours for “Hadronic Light-by-Light Scattering and Vacuum Polarization Contributions to the Muon Anomalous Magnetic Moment from Lattice QCD with Chiral Fermions.”
  • Eric Lancon from Brookhaven National Laboratory received 80 million core-hours for “Scaling LHC Proton-Proton Collision Simulations in the ATLAS Detector.”
  • T.P. Straatsma from Oak Ridge National Laboratory received 30 million core-hours for “Portable Application Development for Next-Generation Supercomputer Architectures Consortium/End-Station.”
  • Elia Merzari from Argonne National Laboratory received 140 million core-hours for “High-Fidelity Simulation for Molten Salt Reactors: Enabling Innovation through Petascale Computing.”
  • Igor Bolotnov from North Carolina State University received 130 million core-hours for “Multiphase Flow Simulations of Nuclear Reactor Flows.”
  • Mark Petersen from Los Alamos National Laboratory received 35 million core-hours for “Investigating the Impact of Improved Southern Ocean Processes in Antarctic-Focused Global Climate Simulations.”
  • Giulia Galli from the University of Chicago and Argonne National Laboratory received 100 million core-hours for “Large-Scale Simulations of Heterogeneous Materials for Energy Conversion Applications Consortium/End-Station.”
  • Phay Ho from Argonne National Laboratory received 90 million core-hours for “Imaging and Controlling Elemental Contrast of Nanocluster in Intense X-Ray Pulses.”
  • Aleksandr Obabko from Argonne National Laboratory received 83.5 million core-hours for “High-Fidelity Numerical Simulation of Wire-Wrapped Fuel Assemblies: Year 2.”
  • J. Ilja Siepmann from the University of Minnesota received 42 million core-hours for “Predictive Modeling and Machine Learning for Functional Nanoporous Materials Consortium/End-Station.”
  • Anupam Sharma from Iowa State University received 51.5 million core-hours for “Analysis and Mitigation of Dynamic Stall in Energy Machines.”
  • Katrin Heitmann from Argonne National Laboratory received 10 million core-hours for “Emulating the Universe.”
  • Sergey Syritsyn from RIKEN BNL Research Center received 50 million core-hours for “Nucleon Structure and Electric Dipole Moments with Physical Chiral-Symmetric Quarks.”
  • Paul Fischer from Argonne National Laboratory received 30 million core-hours for “High-Fidelity Simulations of Flow and Heat Transfer During Motored Operation of an Internal Combustion Engine.”
  • Petros Tzeferacos from the University of Chicago received 22 million core-hours for “Simulations of Laser Experiments to Study MHD Turbulence and Non-Thermal Charged Particles.”
  • Wissam Saidi from the University of Pittsburgh received 20 million core-hours for “Impact of Grain Boundary Defects on Hybrid Perovskite Solar Absorbers.”

The complete list of 2018-2019 ALCC projects can be found here.

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.

The U.S. Department of Energy’s 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, visit the Office of Science website.


Source: ALCF

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