NERSCPowering Scientific Discovery Since 1974

MANTISSA Finds New Ways to Solve Big Data Analysis Challenges

Researchers at Berkeley Lab are working to address emerging data management and analysis issues through MANTISSA, a DOE-funded program that supports development of novel algorithms to enable new software tools in various science domains to run at scale on current and next-generation supercomputers. » Read More

What the Blank Makes Quantum Dots Blink?

Quantum dots promise an astounding range of applications, if scientists can stop them blinking. » Read More

Meraculous: Deciphering the ‘Book of Life’ With Supercomputers

Novel Berkeley Algorithms and Computational Techniques Speed Up Genome Assembly, from Months to Minutes » Read More

Supernova Hunting with Supercomputers

With help from NERSC supercomputers, astronomers confirm one of two competing theories about the birth of Type Ia supernovae. » Read More

NERSC, Cray Announce Phase 1 of Cori Supercomputer

Cray XC40 will be first supercomputer installed in new Computational Research and Theory facility. » 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 CPU Cores CPU Core Hours Used
Parallel Simulation of Electron Cooling Physics and Beam Transport
 PI: Ilya Pogorelov, Tech-X Corporation
Hopper 12,288
Large Scale 3D Geophsycial Inversion & Imaging
 PI: Gregory A. Newman, Lawrence Berkeley National Laboratory
Hopper 10,584
Computational Resources for the Nanomaterials Theory Institute at the Center for Nanophase Materials Sciences
 PI: Paul R. Kent, Oak Ridge National Laboratory
Edison 960
Computational Resources for the Nanomaterials Theory Institute at the Center for Nanophase Materials Sciences
 PI: Paul R. Kent, Oak Ridge National Laboratory
Edison 864
The effect of dislocations on the electrical and chemical properties of oxide materials
 PI: Dario Marrocchelli, Massachusetts Institute of Technology
Edison 288
Computational Prediction and Discovery of Novel Materials for Energy Applications
 PI: Cai-Zhuang Wang, Ames Laboratory Iowa State University
Carver 256

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Did You Know?

Each year NERSC's 5,000+ users report more than 1,500 peer-reviewed results based on work using our resources.