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

February 21, 2018

Berkeley Lab mathematicians 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. Read More »

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

February 2, 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 »

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Berkeley Lab Researchers Contribute to Making Blockchains Even More Robust

January 30, 2018

In the last few years, researchers at Berkeley Lab, UC Davis and University of Stavanger in Norway have developed a new protocol, called BChain, which makes private blockchain even more robust. The researchers are also working with colleagues at Berkeley Lab and beyond to adapt this tool to support applications that are of strategic importance to the Department of Energy’s Office of Science. Read More »

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Berkeley Lab’s ArrayUDF Tool Turns Large-scale Scientific Array Data Analysis Into a Cakewalk

January 2, 2018

A novel scalable framework developed by CRD researchers is improving scientific productivity by allowing researchers to run user-defined custom analysis operations on large arrays of data with massively parallel supercomputers, while leaving complex data management and performance optimization tasks up to the underlying system. Read More »

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Beta of Neurodata Without Borders Software Now Available

December 12, 2017

Neuroscientists can now explore a beta version of the new Neurodata Without Borders: Neurophysiology (NWB:N 2.0) software and offer input to developers before it is fully released next year. Read More »

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Berkeley Lab Scientists to Lead, Support 12 New SciDAC Projects

December 7, 2017

When the Department of Energy announced the series of projects under the latest Scientific Discovery through Advanced Computing (SciDAC) program in late 2017, Berkeley Lab scientists, mathematicians and computer scientists were listed as key contributors in two institutes and 10 science application partnerships. Read More »

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Berkeley Lab Projects Advance Running, Scheduling of Scientific Workflows on HPC Systems

December 4, 2017

New software automates time-consuming manual tasks for running scientific workflows, helps users make more efficient use of computing resources. Read More »

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Berkeley Lab Staff to Participate in Major Machine Learning Conference

December 1, 2017

Berkeley Lab’s growing involvement in deep learning research and development will be evident next week when several staff members present papers and posters for the first time at the 2017 Conference on Neural Information Processing Systems. Read More »

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CRD Staff Honored with Director's Awards for Service and Outreach

December 1, 2017

Jon Bashor, Daniela Ushizima and Mariam Kiran were honored at the Berkeley Lab Director’s Awards for Exceptional Achievement ceremony on November 30. 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 »