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CSA Summer Program Welcomes a Record 180 Participants
The Computing Sciences Area (CSA) Summer Program kicks off on June 6 with a record-breaking 180 participants. Read More »
Berkeley Lab’s Novel Method for Modeling Fluids at the Mesoscale
Recently, Berkeley Lab researchers developed a continuum FHD model that efficiently harnesses the power of cutting-edge exascale supercomputers to simulate the transport phenomenai n fluid mixtures. Read More »
NERSC and the HPC Community Bid Farewell to Cori Supercomputer
After nearly seven years of service, thousands of user projects, and tens of billions of compute hours, the Cori supercomputer will be retired at the end of May. Read More »
Quantum-Inspired Artwork Unveiled
For World Quantum Day on April 14, Berkeley Lab’s Computing Sciences Area (CSA) celebrated the interdisciplinary collaboration between the Advanced Quantum Testbed (AQT) at Berkeley Lab and the California-based contemporary visual artist Benjamin Arizmendi. Read More »
Quantum Evolution
A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science. Read More »
Computational Modeling Streamlines Hunt for Battery Electrolytes
Using computing resources at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (Berkeley Lab), researchers from the Joint Center for Energy Storage Research have identified new, more efficient ways to find improved electrolytes for batteries. Read More »
Combined 'SuperLab' Demonstrates Unique Hybrid Power Plant
For 60 minutes in January 2023, a power plant like no other existed in the U.S. Mountain West. It contained a solar array, lithium-ion battery, hydrogen electrolyzers, and a nuclear reactor, all coordinating to provide reliable power. Even more unusual, the plant combined actual and simulated technologies hundreds of miles apart. Read More »
Berkeley Lab Researchers Awarded ISQED’23 Best Paper
The International Symposium on Quality Electronic Design (ISQED’23) recognized researchers in Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Computer Architecture Group with a Best Paper Award for “An Area Efficient Superconducting Unary CNN Accelerator.”
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New Math Methods and Perlmutter HPC Combine to Deliver Record-Breaking ML Algorithm
Using the Perlmutter supercomputer at NERSC, researchers at Berkeley Lab have devised a new mathematical method for analyzing extremely large datasets—and, in the process, demonstrated proof of principle on a record-breaking dataset of more than five million points. Read More »
Improving Training for Scientific Machine Learning
In the world of scientific machine learning (SciML), scientists are beginning to embrace the use of neural networks as a way to accelerate simulations. At the heart of deep learning algorithms, neural networks provide a mechanism to encode complex dependency structures, using many connected node layers to transform data into learned features to be used for a wide range of scientific tasks. Read More »