NERSCPowering Scientific Discovery Since 1974

Fire and Ice: How Arctic Sea Ice Influences Western U.S. Wildfires

Simulations run at NERSC have helped to confirm a global climate ‘teleconnection’ between Arctic Ice and wildfires in the western United States. » Read More

Perlmutter-Powered Deep-Learning Model Speeds Extreme Weather Predictions

Researchers from Berkeley Lab, Caltech, and NVIDIA trained the Fourier Neural Operator deep-learning model to emulate atmospheric dynamics and provide high-fidelity extreme weather predictions across the globe a full five days in advance. » Read More

Berkeley Lab Deploys Next-Gen Supercomputer, Perlmutter, Bolstering U.S. Scientific Research

NERSC formally unveiled the first phase of its next-generation supercomputer, Perlmutter, at a virtual event that included government officials, industry leaders, and Dr. Perlmutter himself. » Read More

Urbanization + Pollution = More Storm Activity Around Cities

Simulations run at NERSC have revealed that urban land use and anthropogenic aerosols work together to increase storm development, strength, and precipitation intensity around cities. » Read More

Limit Global Warming to 1.5 C and Halve the Contribution of Land Ice to Sea Rise

A new study predicts that sea-level rise could be halved this century (from today to 2100) if we meet the Paris Agreement target of limiting global warming to 1.5°C. » Read More

National Energy Research Scientific Computing Center

Computing at NERSC

NERSC Supports COVID-19 Research

Model of the SARS-CoV-2 coronavirus
NERSC is participating in the COVID-19 High Performance Computing Consortium. This unique private-public effort brings together federal government, industry, and academic leaders to volunteer free compute time and resources on their world-class machines. NERSC has initially set aside up to 1.25 million node hours on its Cori supercomputer in support of this effort. In addition, NERSC's HPC experts are available to assist research teams. Scientists are invited to submit COVID-19 related research proposals, from which an expert panel of top scientists and computing researchers will select projects based on public health benefits, with an emphasis on rapid results.

Learn more about projects using NERSC that are involved in COVID-19 related research.

Now Playing

A small sample of jobs running on NERSC supercomputers right now.

Project System Nodes Core Hours Used
Quantum Chromodynamics with four flavors of dynamical quarks
 High Energy Physics
 PI: Doug Toussaint, University of Arizona
Cori 1,152
Simulation and Analysis of Reacting Flows
 Advanced Scientific Computing Research
 PI: John B. Bell, Lawrence Berkeley National Laboratory
Cori 128
Climate Change Simulations with CESM: Moderate and High Resolution Studies
 Biological & Environmental Research
 PI: Gerald Meehl, National Center for Atmospheric Research (NCAR)
Cori 125
Evaluation and improvement of convective parameterizations in e3sm model
 Biological & Environmental Research
 PI: Wuyin Lin, Brookhaven National Lab
Cori 101
First-Principles Catalyst Design for Environmentally Benign Energy Production
 Basic Energy Sciences
 PI: Manos Mavrikakis, University of Wisconsin - Madison
Cori 94
Magnetic Reconnection, Instabilities, and Turbulence in Laboratory and Space Plasmas
 Fusion Energy Sciences
 PI: Amitava Bhattacharjee, Princeton University
Cori 86

Did You Know?

Each year NERSC's 7,000+ users report more than 2,000 peer-reviewed results based on work using our resources.