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To address challenges associated with extremely large data volumes and rates, SLAC’s Computer science division works with Stanford and Silicon Valley partners on innovative computational solutions.

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SRCF-II construction

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VIA Symmetry Magazine

Deep Learning Takes on Physics

Can the same type of technology Facebook uses to recognize faces also recognize particles?

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VIA Symmetry Magazine

What to Do with the Data?

Physicists and scientific computing experts prepare for an onslaught of petabytes.

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Two recently funded computing projects work toward developing cutting-edge scientific applications for future exascale supercomputers that can perform at least a billion billion computing...

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Liu acknowledged for wide-ranging work in energy materials, catalysis, carbon sequestration, material in extreme conditions and scientific big data mining.

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Finding ways to handle torrents of data from LSST and LCLS-II will also advance “exascale” computing.