A new underground neutrino experiment could provide greater clarity on matter-antimatter imbalance in the Cosmos. And NERSC will be the principal site for data processing and analyses throughout the course of the experiment. » Read More
Using supercomputers at NERSC, an international research team has created a reference catalog for the rumen mmicrobiome. Rumen microbes play a vital role in allowing ruminant (cud-chewing) livestock to break down food, and produce milk, meat and wool, which help support the livelihoods and food security of over a billion people worldwide. » Read More
Berkeley Lab and JGI researchers took one of the most popular clustering approaches in modern biology—Markov Clustering algorithm—and modified it to run efficiently and at scale on supercomputers at NERSC. » Read More
Using NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "micolensing." Armed with this knowledge they believe they will be able to find 1000 strongly lensed Type Ia supernovae in real-time from LSST data--that's 20 times more than previous expectations. » Read More
In this podcast, Berkeley Lab's Suren Byna and NERSC's Quincey Koziol talk about delivering efficient parallel I/O with HDF5 on exascale computing systems. » Read More
A small sample of massively parallel scientific computing jobs running right now at NERSC.
Saul Perlmutter—a professor of physics at UC Berkeley and a faculty senior scientist at Berkeley Lab—was awarded the 2011 Nobel Prize in Physics for his 1998 discovery that the universe is expanding at an accelerating rate. He confirmed his observations by running thousands of simulations at NERSC, and his research team is believed to have been the first to use supercomputers to analyze and validate observational data in cosmology.
