Today at Berkeley Lab

El Cerrito High School Students Get Hands-On Experience During Visit

Students from the IT Academy at El Cerrito High School recently took part in a special Big Data Study Trip hosted at the Lab and sponsored by Workforce Development and Education, EESA, NERSC, and CRD. They plotted characteristics and mapped patterns using water-quality data, and brainstormed on ways to collect and analyze data from San Pablo Bay. More>

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Researchers Discuss Challenges of Storing and Retrieving Exascale Data

Future exascale supercomputers will be able to process a quintillion calculations per second. How can users store and retrieve data quickly enough on such a system? In this podcast, CRD’s Suren Byna and NERSC’s Quincey Koziol discuss prepping HDF5 – one of the most parallel I/O libraries for high-end supercomputing systems – for exascale use.

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Lab Researchers Aid Speedier Scientific Data Flows

Eli Dart (ESnet), Michael Wehner (CRD), and Prabhat (NERSC) recently teamed up to document the data transfer workflow, data transfer performance, and other aspects of moving approximately 56 terabytes of climate data from the distributed Coupled Model Intercomparison Project (CMIP5) archive to NERSC. More>

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Tool Turns Large-Scale Scientific Array Data Analysis Into a Cakewalk

Computational Research Division researchers helped develop a novel scalable framework that performs scientific analysis of vast data arrays more efficiently and tens to thousands of times faster than current big data management systems. Recently, Laser Interferometer Gravitational-Wave Observatory astronomers used the tool to discover two colliding neutron stars. More>

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Improving the Running, Scheduling of Workflows on HPC Systems

Scientists use high performance computing (HPC) to carry out scientific workflows. But the steps and programs needed to execute these workflows require time-consuming manual tasks and don’t make the most efficient use of the system. Newly released software allows HPC scheduling systems to automatically address these issues. More>

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GraphBLAS: Building Blocks for High Performance Graph Analytics

GraphBLAS, a collaboration between researchers in academia, industry, and national research laboratories — including Aydın Buluç of the Computational Research Division — has made publicly available a collection of standardized building blocks for graph algorithms in the language of linear algebra. These will aid development in artificial intelligence, big data, and data analytics. More>

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Assessing Regional Earthquake Risk and Hazards in the Age of Exascale

With emerging exascale supercomputers, scientists will soon be able to accurately simulate the ground motions of regional earthquakes quickly and in unprecedented detail. A team of researchers is building the first-ever end-to-end simulation code to precisely capture the geology and physics of regional earthquakes, and how the shaking impacts buildings. More>

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How Berkeley Lab Software Helped Lead to the 2017 Nobel Prize in Physics

The Nobel Prize in Physics was awarded to scientists in the LIGO Scientific Collaboration who discovered gravitational waves. Software tools developed by researchers in the Lab’s Computational Research Division played a key role in enabling the analysis of the vast quantities of data generated by LIGO. More> ESnet also had a part to play. Go here to learn more.

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Berkeley Lab Aims to Strengthen the Cybersecurity of the Grid

As the grid modernizes, communications between the grid and solar panels will standardize, providing both better resiliency as well as a vulnerability that could be exploited by hackers. A new Lab project led by Sean Peisert and Dan Arnold will develop tools to detect and counter cyber attacks on the grid. The project has been awarded up to $2.5 million by DOE. More>

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DOE 40th Anniversary Milestone: Berkeley Lab’s FastBit

The DOE is celebrating its 40th anniversary by highlighting 40 science accomplishments over 40 days. A recent highlight featured Berkeley Lab’s FastBit. Developed in the Computational Research Division, the technology, which speeds up searches through giant datasets, won an R&D100 Award in 2008. More>

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