University of Illinois at Urbana-Champaign
Stellar Astronomy and Astrophysics
Oct 2016 - Sep 2018
Jul 6, 2017
The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign has awarded 3,697,000 node hours (NH) of time on the Blue Waters supercomputer to Illinois researchers from Spring 2017 proposal submissions. The combined value of these awards is over $2.6 million dollars, and through the life of the Blue Waters program, NCSA has awarded over 43 million node hours to UI researchers—a value of nearly $27 million. Some of the time allocated for Blue Waters will go to projects that focus on HIV research, Laser Interferometer Gravitational-Wave Observatory (LIGO) simulations, genomics and global warming research.
Apr 3, 2012
With the first portion of the Blue Waters petascale supercomputer now being used by six science teams, the Blue Waters visualization team is using scalable visualization software to produce some of the first science images from the Blue Waters project. NCSA staff members are performing application tests to ascertain Blue Waters' system and application performance. These tests, done in collaboration with the early science users, have produced datasets that are in turn being used by the Blue Waters visualization staff to test scalable visualization tools. Such tools enable science teams to explore the very large volumes of data they will produce on the full Blue Waters system. While the early visualization work is mostly concerned with software functionality, it is providing tantalizing glimpses of the early science.
Aug 11, 2017
The yt Project, an open science environment created to address astrophysical questions through analysis and visualization, has been awarded a $1.6 million dollar grant from the National Science Foundation(NSF) to continue developing their software project. This grant will enable yt to expand and begin to support other domains beyond astrophysics, including weather, geophysics and seismology, molecular dynamics and observational astronomy. It will also support the development of curricula for Data Carpentry, to ease the onramp for scientists new to data from these domains.