NERSCPowering Scientific Discovery Since 1974

Delivering Efficient Parallel I/O with HDF5 for Exascale Computing Systems

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

Applying Machine Learning to the Universe’s Mysteries

Using supercomputers at NERSC, Berkeley Lab physicists and their collaborators showed that machine learning is ready to tackle some of the universe's biggest mysteries. In a test, they found that the neural networks had up to a 95% success rate in recognizing important features in a sampling of about 18,000 images of simulated high-energy particle collisions. » Read More

Building a better lithium-sulfur battery

Molecular dynamics simulations run at NERSC helped researchers confirm the viability of a new polymer binder that has been shown to double battery capacity. » Read More

Deciphering the Cosmos with HPC Simulations

Using supercomputers at NERSC, scientists in the Dark Energy Spectroscopic Instrument collaboration are creating simulated universes to better understand real-world observations. » Read More

Heavy Metal: How First Supernovae Altered Early Star Formation

An international team of astrophysicists and cosmologists ran simulations at NERSC to examine how the first supernovae influenced star formation and the evolution of the universe. » Read More

National Energy Research Scientific Computing Center

Computing at NERSC

Now Computing

A small sample of massively parallel scientific computing jobs running right now at NERSC.

Project Machine Nodes NERSC Hours Used
Computation of Electronic Properties of Materials from First Principles
 PI: Steven Louie, Lawrence Berkeley National Laboratory
Cori 480
Ab initio nuclear structure
 PI: Mark A. Caprio, University of Notre Dame
Cori 385
Electronic structure and spectroscopic properties of complex materials
 PI: Wai-Yim Ching, University of Missouri - Kansas City
Cori 384
multi-scale simulations of nanoscale energy conversion
 PI: Jeffrey C. Grossman, Massachusetts Institute of Technology
Edison 336
multi-scale simulations of nanoscale energy conversion
 PI: Jeffrey C. Grossman, Massachusetts Institute of Technology
Edison 336
energy exascale earth system modeling (e3sm)
 PI: Lai-Yung Ruby Leung, Pacific Northwest National Laboratory (PNNL)
Edison 285
Three-Dimensional Simulations of Core-Collapse Supernovae
 PI: Adam Seth Burrows, Princeton University
Cori 254

NERSC Help Line: 1-800-666-3772

Did You Know?

George Smoot, professor of physics at UC Berkeley & an astrophysicist at Berkeley Lab, won the 2006 Nobel Prize for physics for his cosmic microwave background radiation data analysis. He used NERSC supercomputers to confirm predictions of the Big Bang theory.