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NERSC News

Perlmutter Supercomputer Supports Two 2023 Gordon Bell Finalists

November 6, 2023

The Perlmutter supercomputer at NERSC helped two research projects become nominated for the Gordon Bell Prize, to be awarded at SC23. Read More »

Five Early-Career Researchers Honored with NERSC Achievement Awards

November 9, 2023

At the November NERSC User Group monthly meeting, five NERSC users were honored with NERSC High Performance Computing (HPC) Achievement Awards, which annually recognize early-career scientists who have made significant contributions to scientific computation using NERSC resources. Read More »

Perlmutter Supports First Gravitational Lensing System Modeled on GPUs

September 20, 2023

Using the GIGA-Lens modeling code on the Perlmutter supercomputer at NERSC, a team of researchers has modeled a rare instance of strong gravitational lensing known as an Einstein Cross—likely the first such system to be modeled on GPUs and a demonstration of the promise of GPU-accelerated modeling. Read More »

Berkeley Lab to Partner with Jefferson Lab to Build $300+ Million High Performance Data Facility Hub

October 16, 2023

The U.S. Department of Energy has announced the selection of Thomas Jefferson National Accelerator Facility (Jefferson Lab) as the lead for its new High Performance Data Facility Hub. Jefferson Lab will partner with Lawrence Berkeley National Laboratory (Berkeley Lab) to form a joint project team led by Jefferson Lab. Read More »

NERSC Collaborations Help Illuminate Earth's Biodiversity

October 25, 2023

With the help of supercomputers at NERSC and support from the DOE's Exascale Computing Project, researchers in Berkeley Lab’s Applied Mathematics and Computational Research Division and at the Joint Genome Institute have developed new tools to advance the field of metagenomics and expand scientists’ understanding of our world’s biodiversity. Read More »

NERSC Helps Scientists Build Public Health Datasets from Location Services

September 7, 2023

Prompted by the COVID pandemic, scientists used NERSC resources to process location-based cell phone data and produce more detailed datasets that help them better estimate social contacts within public spaces. Read More »