October 14, 2013
Submitted by DOE’s Fermilab
The universe is a vast and mysterious place, but thanks to high-performance computing technology scientists around the world are beginning to understand it better. They are using supercomputers to simulate how the Big Bang generated the seeds that led to the formation of galaxies such as the Milky Way.
Courtesy of Ralf Kaehler and Tom Abel (visualization); John Wise and Tom Abel (numeric simulation).
Modeling the universe with a computer is very difficult, and the output of those simulations is typically very large. By anyone’s standards, this is “big data,” as each of these data sets can require hundreds of terabytes of storage space. Efficient storage and sharing of these huge data sets among scientists is paramount. Many different scientific analyses and processing sequences are carried out with each data set, making it impractical to rerun the simulations for each new study.
This past year Argonne Lab, Fermilab and Berkeley Lab began a unique partnership on an ambitious advanced-computing project. Together the three labs are developing a new, state-of-the-art cosmological simulation analysis toolbox that takes advantage of DOE’s investments in supercomputers and specialized high-performance computing codes. Argonne’s team is led by Salman Habib, principal investigator, and Ravi Madduri, system designer. Jim Kowalkowski and Richard Gerber are the team leaders at Fermilab and Berkeley Lab.
See the full article here.
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