Performance Engineering | Argonne National Laboratory

Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to performance engineering.

Kevin Brown is paving the way toward the next generation of supercomputers

At Argonne, Brown studies the algorithms and architecture that can best serve the huge computational problems supercomputers can handle.
How microelectronics will take computing to new heights

Tiny but powerful, microelectronics are essential to daily life today. Scientists are working to make them even smaller and more energy efficient.
Argonne training program provides crash course in supercomputing

The intensive two-week program equips attendees with the skills and knowledge needed to use the world’s most powerful supercomputers for science.
Quantum network between two national labs achieves record synch

Quantum collaboration demonstrates in Chicagoland the first steps toward functional long-distance quantum networks over deployed telecom fiber optics, opening the door to scalable quantum computing.
The age of exascale and the future of supercomputing

Argonne looks to exascale and beyond, sorting out the relationship between computing and experimental facilities, the need for speed and AI’s role in making it all work.
$1.2 million award helps Argonne steer manufacturers toward supercomputing

Argonne is using its computing power and expertise to help U.S. companies improve energy efficiency in manufacturing and materials development.
Argonne’s new menu of data storage software helps scientists realize findings earlier

Argonne data navigation tool enables scientists to unlock discoveries faster using specialized scientific data services.
Argonne-led team wins technology challenge at SC19

An extensive collaboration led by Argonne recently won the Inaugural SCinet Technology Challenge at the Supercomputing 19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF.
Kyle Gerard Felker
Christopher J. Knight

Christopher’s interests include development of large-scale molecular simulation algorithms and understanding scientific application performance on future computational resources.

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