The Galaxy Project, open-source software construction and 3D visualization highlight this year’s first Blue Waters webinars.
Scientists' effort to map a portion of the sky in unprecedented detail is coming to an end, but their work to learn more about the expansion of the universe has just begun.
NCSA invites SC18 attendees to imagine solutions to grand challenges through access to advanced digital resources and data.
Tom Quinn, an astronomy professor at the University of Washington, leads the N-body Shop, where he works on running and analyzing simulations of structure and planet formation in the Universe, along with studying galactic and solar system dynamics.
Illinois faculty and researchers will have one final opportunity for allocations.
Voting is now open for the 2018 edition of HPCWire's annual Readers' Choice Awards, to be presented at SC18 in Dallas next month.
Thanks to a new simulation from NASA's Goddard Space Flight Center and the Blue Waters supercomputer at NCSA, we now have a pretty good idea what it looks like when two black holes collide.
Using the Blue Waters supercomputer, University of Illinois researchers make new discoveries on how DNA gets repaired by a molecular machine, the first simulation work to provide an atomistic-level look at what is happening in the helicase.
Using the Blue Waters supercomputer, Illinois researcher Mattia Gazzola studies the interaction between musculoskeletal systems and environments.
The REMA project relied entirely on the computational and data resources of Blue Waters to run the SETSM software they developed that automated assembly of overlapping pairs of high-resolution satellite images to create the high-resolution, high-fidelity elevation maps.
Facilitating FEA: NCSA collaborates with Rolls-Royce, Livermore Software Technology Corporation, and Cray to scale up implicit finite element analysisSep 13, 2018
Drawing on real-life models from Rolls-Royce and technical consulting from Cray, NCSA and LSTC optimized LS-DYNA to reduce the memory footprint of running high-fidelity models and improve the software's performance and scalability.
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