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
Three-Dimensional Simulations of Core-Collapse Supernovae
 Nuclear Physics
 PI: Adam Seth Burrows, Princeton University
Cori 512
Water Cycle and Climate Extremes Modeling (WACCEM)
 Biological & Environmental Research
 PI: Lai-Yung Ruby Leung, Pacific Northwest National Laboratory (PNNL)
Cori 256
Supernova Explosions in Three Dimensions
 Nuclear Physics
 PI: Tomasz Plewa, Florida State University
Cori 256
Climate Change Simulations with CESM: Moderate and High Resolution Studies
 Biological & Environmental Research
 PI: Gerald Meehl, National Center for Atmospheric Research (NCAR)
Cori 125
Center for computational study of excited-state phenomena in energy materials (c2sepem)
 Basic Energy Sciences
 PI: Jack Deslippe, Lawrence Berkeley National Lab - NERSC
Cori 81
Computational studies in plasma physics and fusion energy
 Fusion Energy Sciences
 PI: Abhay K. Ram, Massachusetts Institute of Technology
Cori 72

Did You Know?

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