Polaris, the newest supercomputer at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, is now open to the research community.
The system, which is housed at the Argonne Leadership Computing Facility (ALCF), a DOE Office of Science user facility, provides a platform for researchers to prepare codes and workloads for Argonne’s upcoming Aurora exascale supercomputer. Polaris will also support several projects focused on using artificial intelligence (AI) for science and the integration of large-scale research instruments with high performance computing.
Built by Hewlett Packard Enterprise (HPE), Polaris is capable of delivering 44 petaflops of peak double precision performance and nearly 1.4 exaflops of theoretical AI performance.
“Polaris is around four times faster than our Theta supercomputer, making it Argonne’s most powerful computer to date,” said ALCF Director Michael Papka. “The system brings advanced capabilities that will allow our user community to carry out simulation, data analysis, and AI tasks at a scale and speed that has not been possible with our previous systems.”
Like Aurora, Polaris is a hybrid system powered by both central processing units (CPUs) and graphics processing units (CPUs). This similarity, along with some other shared technologies, will help ease the transition to using Aurora for scientific research ahead of the exascale supercomputer’s deployment.
Polaris will immediately begin supporting several research teams getting ready for the arrival of Aurora via DOE’s Exascale Computing Project (ECP) and the ALCF’s Aurora Early Science Program (ESP).
“We have a very diverse set of projects lined up to use Polaris,” said Katherine Riley, ALCF Director of Science. “Some of the initial ECP and ESP research campaigns include using AI to accelerate cancer research, performing massive cosmological simulations to advance our understanding of the universe, and modeling turbulent flows to inform the design of more efficient aircraft.”
At Argonne, Polaris will also be a key tool to advance efforts to integrate ALCF computing resources more closely with DOE experimental facilities. Initial work will be focused on coupling ALCF systems with the co-located Advanced Photon Source (APS) and Center for Nanoscale Materials (CNM), both DOE Office of Science user facilities at Argonne.
“Experimental facilities need powerful computing resources to keep pace with the increasingly large amounts of scientific data they are producing,” Papka said. “By closely integrating ALCF supercomputers with the APS, CNM, and other experimental facilities, we can help speed data analysis and provide insights that allow researchers to steer their experiments in real time.”
For details on the system, visit the Polaris user guide.
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://energy.gov/science