Argonne researchers maximize efficiencies by running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.
To leverage emerging computing capabilities and prepare for future exascale systems, Argonne is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.
Argonne’s expertise and leadership in extreme-scale computing will again be on display at the annual International Conference for High-Performance Computing, Networking, Storage and Analysis (SC18).
The U.S. Department of Energy’s (DOE) Argonne National Laboratory has formed two new research divisions to focus its lab-wide foundational expertise on computational science and data science activities.
Argonne researchers maximize efficiencies by running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.
Argonne’s new numerical modeling tool helps researchers better understand a powerful engine that could one day propel the next generation of airplanes and rockets.
Scheduled to begin its observations of the cosmos in 2021, the Large Synoptic Survey Telescope (LSST) will capture a continuous stream of images and generate massive datasets of roughly half the visible sky every night.
Researchers at Argonne have developed a virtual cooperative fuel research engine that will help probe how a fuel’s chemical kinetics translates into its octane rating.
To leverage emerging computing capabilities and prepare for future exascale systems, Argonne is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.
