Argonne wins several HPCwire awards

facility accomplishment
Black Holes Image

Scientific visualization of a numerical relativity simulation that describes the collision of two black holes consistent with the binary black hole merger GW170814. The simulation was done on the Theta supercomputer using the open source, numerical relativity, community software Einstein Toolkit ( (Image by Argonne Leadership Computing Facility, Visualization and Data Analytics Group [Janet Knowles, Joseph Insley, Victor Mateevitsi, Silvio Rizzi].

Laboratory recognized for leadership in high performance computing.

The U.S. Department of Energy’s (DOE) Argonne National Laboratory has long been at the forefront of high performance computing research. Its achievements in artificial intelligence and machine learning on the path to exascale computing recently garnered the Laboratory several awards from HPCwire, a leading website covering the high performance computing industry. The website’s Readers’ and Editors’ Choice Awards were announced in November, at the annual Supercomputing Conference, held this year in St. Louis, Missouri.

Argonne was recognized with the Editors’ Choice Award for Best Use of High Performance Computing in Industry for its collaboration with Aramco Americas and Convergent Science. In this partnership, Argonne helped evaluate cold operations for propulsion systems. Researchers used the Theta supercomputer at the Argonne Leadership Computing Facility (ALCF) to model and resolve uncertainties at cold conditions. The work will provide a better understanding of where pollutants originate and lead to the development of propulsion systems with lower climate impact. The ALCF is a DOE Office of Science user facility.

Argonne researchers also won Readers’ Choice and Editors’ Choice Awards for the Best Use of High Performance Data Analytics and Artificial Intelligence. The Readers’ Choice Award went to Argonne’s automated and adaptive machine learning-genetic algorithm (ML-GA) workflow. By using machine learning-based surrogate models, ML-GA accelerates the design optimization of an advanced heavy-duty engine by more than tenfold, reducing the design time from a few months to a few days. Unlike more traditional optimization methods, Argonne’s software learns from simulation data adaptively. For ML-GA, scientists run simulations in small batches and train an ML surrogate model on the simulation data. This surrogate model serves as a replacement for the simulation itself within a GA optimization pipeline. As a result, the overall runtime is greatly reduced by the much faster surrogate model.

The Editors’ Choice Award in that category went to a partnership between Argonne, the University of Chicago, and the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign. The collaboration developed reproducible, physics-inspired artificial intelligence (AI) models that search for and detect gravitational waves in data from the Laser Interferometer Gravitational Wave Observatory. By accelerating the search for gravitational waves from days to minutes, this coupling of high performance and edge computing shows the potential for AI to play a role in gravitational wave astronomy.

As part of a large international collaboration, Argonne researchers won an additional Readers’ Choice Award in the Best Use of High Performance Computing in Physical Sciences. This team developed the first class of AI models that outperform humans in the classification of thousands of compact star clusters observed by the Hubble Space Telescope.

Valerie Taylor, Argonne Distinguished Fellow and director of the Laboratory’s Mathematics and Computer Science division, won an Editors’ Choice Award for Outstanding Leadership in High Performance Computing. Taylor has authored or co-authored more than 100 papers in the area of high performance computing, in particular, performance analysis and energy efficient computing. She is an IEEE Fellow and ACM Fellow and serves as the executive director of the Center for Minorities and People with Disabilities in IT (CMD-IT).

“These awards show that Argonne continues to play a driving role in the future of high performance computing,” said Rick Stevens, Argonne associate laboratory director for Computing, Environment and Life Sciences. ​“Argonne is home to the best and brightest in computing, and our research has made an impact in a wide array of scientific fields.”


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.

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.