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Awards and Recognition | Argonne National Laboratory

Argonne wins 3 HPCwire awards

The awards recognize collaborative science using high performance computing.

The U.S. Department of Energy’s (DOE) Argonne National Laboratory has been recognized with three awards from HPCwire, a leading website covering the high performance computing industry. The awards were announced Nov. 14 at SC22, the annual supercomputing conference in Dallas, Texas.

The awards recognize Argonne’s leadership in high performance computing, including collaborations with industry. Today’s scientific advances often depend on the ability to solve large complex problems relatively quickly with powerful computers and algorithms. Argonne has been using high performance computing for goals ranging from more efficient engines to exploring the cosmos.

These awards recognize projects that are quite distinct in their own ways, but they share a common theme: collaboration.” — Rick Stevens, Argonne associate laboratory director for the Computing, Environment and Life Sciences division and an Argonne Distinguished Fellow

In addition to world-leading computer science expertise, the Lab is home to the Argonne Leadership Computing Facility (ALCF), a DOE Office of Science user facility. HPCwire honored Argonne with several awards last year.

Improving artificial intelligence tools

Work led by Argonne to broaden usability for artificial intelligence (AI) models won a Readers’ Choice Award in the Best Use of High Performance Data Analytics & Artificial Intelligence category.

The research aims to make data science more easily reproducible through a set of principles known as FAIR: findable, accessible, interoperable and reusable. The team included scientists from Argonne, The University of Chicago, National Center for Supercomputing Applications and University of Illinois at Urbana-Champaign. They created a computational framework that enables artificial intelligence models to run seamlessly across various types of hardware and software platforms and yield the same results.

The research was funded by DOE’s Office of Advanced Scientific Computing Research, the National Institute of Standards and Technology, the National Science Foundation and Argonne Laboratory Directed Research and Development grants. To perform the computations, the team used the ALCF AI Testbed’s SambaNova system and the Theta supercomputer’s NVIDIA graphics processing units. The data for the study was acquired at the Advanced Photon Source, also a DOE Office of Science user facility.

Collaborating with industry for real-world solutions

Argonne received another Readers’ Choice Award in the Best Use of HPC in Industry (Automotive, Aerospace, Manufacturing, Chemical) category. Together with the Raytheon Technologies Research Center, Argonne developed machine learning models for designing and optimizing high-efficiency gas turbines in aircraft. The machine learning models were trained on computational fluid dynamics (CFD) simulations of gas turbine film cooling performed on DOE supercomputers. CFD simulations approximate how fluids like air or fuel move, and they are key to enhancing efficiency in machines of all kinds. The researchers’ framework can extend fuel efficiency and durability of aircraft engines while slashing design times and costs. The work is funded by DOE’s Advanced Manufacturing Office via the HPC4EnergyInnovation program.

In the same industry category, Argonne also won an Editors’ Choice Award for its work with Aramco Americas and Convergent Science focused on high fidelity CFD simulations of hydrogen engines using resources at ALCF and Argonne’s Laboratory Computing Resource Center. The work will help expedite the adoption of clean, highly efficient hydrogen propulsion systems for the transportation sector, facilitating an accelerated transition to low-carbon energy.

These awards recognize projects that are quite distinct in their own ways, but they share a common theme: collaboration,” said Rick Stevens, Argonne associate laboratory director for the Computing, Environment and Life Sciences division and an Argonne Distinguished Fellow. We are pushing to move scientific insights from supercomputing into real-world solutions.”

The Argonne Leadership Computing Facility provides supercomputing capabilities to the scientific and engineering community to advance fundamental discovery and understanding in a broad range of disciplines. Supported by the U.S. Department of Energy’s (DOE’s) Office of Science, Advanced Scientific Computing Research (ASCR) program, the ALCF is one of two DOE Leadership Computing Facilities in the nation dedicated to open science.

About the Advanced Photon Source

The U. S. Department of Energy Office of Science’s Advanced Photon Source (APS) at Argonne National Laboratory is one of the world’s most productive X-ray light source facilities. The APS provides high-brightness X-ray beams to a diverse community of researchers in materials science, chemistry, condensed matter physics, the life and environmental sciences, and applied research. These X-rays are ideally suited for explorations of materials and biological structures; elemental distribution; chemical, magnetic, electronic states; and a wide range of technologically important engineering systems from batteries to fuel injector sprays, all of which are the foundations of our nation’s economic, technological, and physical well-being. Each year, more than 5,000 researchers use the APS to produce over 2,000 publications detailing impactful discoveries, and solve more vital biological protein structures than users of any other X-ray light source research facility. APS scientists and engineers innovate technology that is at the heart of advancing accelerator and light-source operations. This includes the insertion devices that produce extreme-brightness X-rays prized by researchers, lenses that focus the X-rays down to a few nanometers, instrumentation that maximizes the way the X-rays interact with samples being studied, and software that gathers and manages the massive quantity of data resulting from discovery research at the APS.

This research used resources of the Advanced Photon Source, a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Argonne National Laboratory under Contract No. DE-AC02-06CH11357.

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 https://​ener​gy​.gov/​s​c​ience.