NERSCPowering Scientific Discovery Since 1974

A Standard for Neuroscience Data

Berkeley Lab and NERSC researchers are developing tools to standardize data formats and storage for the neuroscience research community. They are also working on a portal to make sharing neuroscience data easier. » Read More

Novel Algorithms Help Illuminate Dark Energy

Using NERSC supercomputers, Berkeley researchers developed novel computational tools to help the Dark Energy Survey identify and monitor Type 1a supernovae. » Read More

Optimized Algorithms Boost Combustion Research

Turbulent combustion simulations, which play an important role in the design of fuel-efficient combustion systems such as diesel engines, have gotten their own efficiency boost. » Read More

Take a "Scroll" Down Memory Lane

Visit our new 40th anniversary timeline. Find out what Disney movie was filmed at NERSC; take a tour of the machine room of the 1990s; uncover staff's 1983 holiday wishlist (hint: some things don't change), and more. » 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
Computational studies in plasma physics and fusion energy
 PI: Abhay K. Ram, Massachusetts Institute of Technology
Edison 32,832
Imaging of Seismic Wavefields in Complex Hetrogeneous Media at Unprecedented Details and Scales
 PI: Gregory A. Newman, Lawrence Berkeley National Laboratory
Hopper 24,576
Study of laser-plasma interactions relevant to direct-drive ICF implosions
 PI: Chuang Ren, University of Rochester
Edison 20,016
SciDAC-3: Computation-Driven Discovery for the Dark Universe
 PI: Salman Habib, Argonne National Laboratory
Hopper 18,432
NERSC Staff Accounts
 PI: Sudip S. Dosanjh, Lawrence Berkeley National Lab - NERSC
Edison 4,320
Computational Characterization of Porous Materials
 PI: Berend Smit, University of California Berkeley
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.