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A Game Changer: Metagenomic Clustering Powered by HPC

March 12, 2018

A team of researchers from Berkeley Lab's CRD and JGI took one of the most popular clustering approaches in modern biology—the Markov Clustering algorithm—and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers. Read More »

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Combination of Old and New Yields Novel Power Grid Cybersecurity Tool

March 7, 2018

An innovative R&D project led by Berkeley Lab researchers that combines cybersecurity, machine learning and commercially available power system sensor technology to better protect the electric power grid has sparked interest from U.S. utilities, power companies and government officials. Read More »

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Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?

March 1, 2018

Using the SciDAC developed SEDONA code and NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "microlensing." 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 »

Interested Staff Invited to Apply to Attend 5-Day Machine Learning Hackathon

March 1, 2018

Staff in the lab's Computing Sciences and Biosciences areas are invited to participate in a weeklong workshop focusing on machine learning in data science. The goal of the workshop, to be held April 2-6, is to build bridges between Computing Sciences and Biosciences through a common foundation in statistical computing.   The course is open to all staff in Biosciences and Computing Sciences, but perquisite training in basic Python, basic linear algebra and basic to intermediate statistics is… Read More »

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New Employee Profile- March 2018

March 1, 2018

Vlad Grigorescu, ESnet Vlad Grigorescu, ESnet This month Vlad Grigorescu joins the Energy Sciences Network (ESnet) as a new senior security engineer. In this role he will be writing tools to better detect and investigate security incidents on the network, as well as to help automate some of the responses. Grigorescu has spent his career working in educational and open-source communities, and has contributed to projects like Bro, rsyslog, and Logstash. Before coming to ESnet, Grigorescu was a… Read More »


Berkeley Lab “Minimalist Machine Learning” Algorithms Analyze Images from Very Little Data

February 20, 2018

Mathematicians at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the tens or hundreds of thousands of images used by typical machine learning methods, this new approach “learns” much more quickly and requires far fewer images. Daniël Pelt and James Sethian of he Center for Advanced Mathematics for Energy Research Applications (CAMERA) turned the… Read More »

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Physics Data Processing on NERSC's Cori System Dramatically Cuts Reconstruction Time

February 15, 2018

In a recent demonstration project, physicists from Brookhaven National Laboratory and Berkeley Lab used the Cori supercomputer to reconstruct data collected from a nuclear physics experiment, an advance that could dramatically reduce the time it takes to make detailed data available for scientific discoveries. Read More »

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The Atomic Dynamics of a Rare Magneto-Electric Matter

February 14, 2018

By ricocheting neutrons off the atoms of yttrium manganite (YMnO3) heated to 3,000 degrees Fahrenheit, researchers have discovered the atomic mechanisms that give the unusual material its rare electromagnetic properties. Their work included large-scale quantum simulations run at NERSC. Read More »

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Lab Hosts First Data Study Trip

February 5, 2018

On Tuesday, students from the IT Academy at El Cerrito High School took part in a special Big Data Study Trip hosted at Berkeley Lab and held by a partnership of Workforce Development and Education (WDE), EESA, NERSC and CRD.Working with water quality data collected by Michelle Newcomer of the Climate and Ecosystem Sciences Division (CESD) and staged at NERSC, the students plotted characteristics and mapped patterns, then offered their own ideas for how to collect and analyze data from a… Read More »

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

February 1, 2018

In an interview with Department of Energy's ECP communications team, Berkeley Lab's Suren Byna and Quincey Koziol talk about delivering efficient parallel I/O with HDF5 on exascale computing systems. Read More »