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BInGaN

NERSC Resources Help Predict New Material for High-Power, High-Efficiency LEDs

November 22, 2017

Using predictive atomistic calculations and high-performance supercomputers at NERSC, University of Michigan researchers found that incorporating the element boron into the widely used InGaN (indium-gallium nitride) material can keep electrons from becoming too crowded in LEDs, making the material more efficient at producing light. Read More »

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GraphBLAS: Building Blocks For High Performance Graph Analytics

November 21, 2017

After nearly five years of collaboration between researchers in academia, industry and national research laboratories—including Berkeley Lab's Aydın Buluç—GraphBLAS, a collection of standardized building blocks for graph algorithms in the language of linear algebra, is publicly available. Read More »

Prabhat

Deep Learning for Science: A Q&A with NERSC's Prabhat

November 10, 2017

In this Q&A with Prabhat, who leads the Data and Analytics Services Group at NERSC and has been instrumental in several projects exploring opportunities for deep learning in science, he talks about the history of deep learning and machine learning and the unique challenges of applying these data analytics tools to science. Read More »

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The Mystery of the Star That Wouldn’t Die

November 8, 2017

Berkeley Lab and UC Berkeley scientists were part of a team that helped to decipher one of the most bizarre spectacles ever seen in the night sky: A supernova that refused to stop shining, remaining bright far longer than an ordinary stellar explosion. What caused the event is puzzling. Read More »

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Students Turn Summer Research into SC17 Research Poster

November 7, 2017

Instead of going on vacation last summer, recent computer science graduates Tom Corcoran and Rafael Zamora went to work at Lawrence Berkeley National Laboratory. They were invited to stay on at the lab because of their advanced work at the intersection of protein classification and machine learning. Their project also got them an invitation to present their work at the 2017 Supercomputing Conference in Denver. At the conference, to be held November 12-17, the two will present a poster… Read More »

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Berkeley Lab’s Leadership in Deep Learning, Exascale Computing and Beyond on Tap at SC17

November 6, 2017

Lawrence Berkeley National Laboratory staff will be sharing their expertise reflecting the lab’s work in pushing the envelope to exascale computing and beyond, as well as Berkeley Lab’s leadership in deep learning. Read More »

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Berkeley Lab Staff to Instruct, Inform and Demonstrate Expertise at SC17

November 1, 2017

Berkeley Lab staff will be sharing their expertise with the global HPC committee through tutorials, technical papers, focused workshops in the conference technical program at SC17 in Denver, Colo., November 12-17. Read More »

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ECP Pagoda Project Rolls Out First Software Libraries

November 1, 2017

Just one year after the DOE's Exascale Computing Program began funding projects to prepare scientific applications for exascale supercomputers, the Pagoda Project has successfully reached a major milestone: making its open source software libraries publicly available as of September 30, 2017. Read More »

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New Alvarez Fellow Joins CRD

October 27, 2017

Yu-Hang Tang seeks to improve molecular dynamics simulations. Read More »

Techwomen

2017 Techwomen Foster Collaborations at Berkeley Lab and Around the Globe

October 17, 2017

Berkeley Lab's Daniela Ushizima, Romy Chakraborty and Jackie Scoggins are collaborating with two Techwomen—Patu Ndango from Cameroon and Rim Abid from Tunisia—on quality control methods for constrained environments. Read More »