NERSCPowering Scientific Discovery Since 1974

Rare Supernova Discovery Ushers in New Era for Cosmology

Discovered! The first ever multiply-imaged gravitationally-lensed Type Ia supernova. With more of these events, researchers could measure the universe's expansion rate within four percent accuracy. Berkeley researchers do have a method for finding more. » Read More

Machine Learning Speeds Predictive Modeling of Nanomaterials

Researchers are employing machine learning algorithms to accurately predict the physical, chemical and mechanical properties of nanomaterials, reducing the time it takes to yield such predictions from years to months—in some cases even weeks. » Read More

Catching Extreme Waves

Using decades of global climate data generated at a spatial resolution of about 25 kilometers squared, researchers were able to capture the formation of tropical cyclones, also referred to as hurricanes and typhoons, and the extreme waves that they generate. » Read More

Machine Learning Method Could Accelerate Development of Metallic Materials for Aerospace

Using NERSC supercomputers, Berkeley Lab researchers built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. » Read More

Simulations Reveal the Invisible Chaos of Superluminous Supernovae

Astrophysicists are running 2D simulations at NERSC to better understand the physical conditions that create rare superluminious supernovae. » Read More

NWChem’s Planewave Now “Purring” on Intel’s KNL Nodes

Berkeley Lab researchers have successfully added thread-level parallelism on top of MPI-level parallelism in the planewave density functional theory method within the popular software suite NWChem. An important step to ensuring that computational chemists are prepared to compute efficiently on next-generation exascale machines. » 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
Wall-Resolved Large Eddy Simulations of Transonic Shock-Induced Flow Separation
 PI: Mujeeb Malik, NASA Langley Research Center
Cori KNL 2,646
Center for Edge Physics Simulation: SciDAC-3 Center
 PI: Choong-Seock Chang, Princeton Plasma Physics Laboratory (PPPL)
Edison 2,048
Domain Wall Fermions and Highly Improved Staggered Quarks for Lattice QCD
 PI: Norman H. Christ, Columbia University
Cori KNL 1,800
Wall-Resolved Large Eddy Simulations of Transonic Shock-Induced Flow Separation
 PI: Mujeeb Malik, NASA Langley Research Center
Edison 1,764
Domain Wall Fermions and Highly Improved Staggered Quarks for Lattice QCD
 PI: Norman H. Christ, Columbia University
Cori KNL 1,205
SciDAC GSEP: Gyrokinetic Simulation of Energetic Particle Turbulence and Transport
 PI: Zhihong Lin, University of California Irvine
Edison 120

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NERSC, PDSF, and the 2015 Nobel Prize in Physics

NERSC's Richard Gerber blogs on the role of NERSC, PDSF, and HPSS in the discovery of neutrino oscillations that was honored by the 2015 Nobel Prize.