MAJORANA DEMONSTRATOR

A new underground neutrino experiment could provide greater clarity on matter-antimatter imbalance in the Cosmos. And NERSC will be the principal site for data processing and analyses throughout the course of the experiment. » Read More

A Reference Catalog for the Rumen Microbiome

Using supercomputers at NERSC, an international research team has created a reference catalog for the rumen mmicrobiome. Rumen microbes play a vital role in allowing ruminant (cud-chewing) livestock to break down food, and produce milk, meat and wool, which help support the livelihoods and food security of over a billion people worldwide. » Read More

Metagenomic Clustering Powered by Supercomputers

Berkeley Lab and JGI researchers took one of the most popular clustering approaches in modern biology—Markov Clustering algorithm—and modified it to run efficiently and at scale on supercomputers at NERSC. » Read More

Searching for Strongly Lensed Supernovae

Using NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "micolensing." Armed with this knowledge they believe they will be able to find 1000 strongly lensed Type Ia supernovae in real-time from LSST data--that's 20 times more than previous expectations. » Read More

Delivering Efficient Parallel I/O with HDF5 for Exascale Computing Systems

In this podcast, Berkeley Lab's Suren Byna and NERSC's Quincey Koziol talk about delivering efficient parallel I/O with HDF5 on exascale computing systems. » Read More

National Energy Research Scientific Computing Center

Computing at NERSC

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Now Computing

A small sample of massively parallel scientific computing jobs running right now at NERSC.

Project	Machine	Nodes
partnership center for high-fidelity boundary plasma simulation: scidac-4 center PI: Choong-Seock Chang, Princeton Plasma Physics Laboratory (PPPL)	Edison	1,024
Novel density functional theory approaches to the statistical mechanics of aqueous systems PI: Christopher Mundy, Pacific Northwest National Laboratory (PNNL)	Cori	640
Theory of nanostructured materials PI: Jeffrey Neaton, Lawrence Berkeley National Laboratory	Cori	260
exascale deep learning enabled precision medicine for cancer PI: Rick Stevens, Argonne National Laboratory	Cori	257
Large Scale 3D Geophsycial Inversion & Imaging PI: Gregory A. Newman, Lawrence Berkeley National Laboratory	Cori	256
improved representations of convection and clouds for the e3sm model PI: Steven J. Ghan, Pacific Northwest National Laboratory (PNNL)	Edison	200
Bjorken-x Dependence of Proton Transversity on the Lattice PI: Huey-Wen Lin, Michigan State University	Edison	128