NERSCPowering Scientific Discovery Since 1974

DOE to Build Next-Generation Supercomputer at Berkeley Laboratory

New Pre-Exascale System Will Be Named ‘Perlmutter’ in Honor of Lab’s Nobel Prize-Winning Astrophysicist » Read More

NERSC Recognized by NASA for Contributions to Planck Mission

NERSC staff was honored with a NASA Group Achievement Award for their HPC support of the Planck Space Mission, which pushed the limits of HPC and cosmology. » Read More

Cosmoflow

A Big Data Center collaboration between NERSC, Intel and Cray has yielded another first in the quest to apply deep learning to data-intensive science: CosmoFlow, the first large-scale science application to use the TensorFlow framework on a CPU-based HPC platform with synchronous training. » Read More

Pickled Power

Computer simulations reveal that an additive commonly used to extend the life of Li-On batteries works because of a chemical reaction similar to pickling. » Read More

Breaking the Exaop Barrier

Computational scientists from Lawrence Berkeley and Oak Ridge national laboratories and engineers from NVIDIA have, for the first time, demonstrated an exascale-class deep learning application that has broken the exaop barrier. » 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
Benchmarks for NWChem/SPEC libraries
 PI: Sotiris Xantheas, Pacific Northwest National Laboratory (PNNL)
Cori 1,024
Physics of charm and bottom baryons in lattice QCD
 PI: William Detmold, Massachusetts Institute of Technology
Cori 496
partnership center for high-fidelity boundary plasma simulation: scidac-4 center
 PI: Choong-Seock Chang, Princeton Plasma Physics Laboratory (PPPL)
Cori 384
Physics of charm and bottom baryons in lattice QCD
 PI: William Detmold, Massachusetts Institute of Technology
Cori 284

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Did You Know?

Each year NERSC's 6,000+ users report more than 2,000 peer-reviewed results based on work using our resources.