• Exascale and Beyond Escalating computing power has enabled science problems inconceivable a few years ago. Continuing this growth requires new devices, architecture and algorithms, software and computing facility operations.
• Data-Driven Science The “superfacility” is our vision to help researchers turn the rising tide of experimental and observational data into science by coupling instruments to advanced computing through powerful networks and research expertise.
• Scientific Complexity To answer, and anticipate, increasingly sophisticated science questions, researchers need advanced math models and methods, new algorithms and better ways to use computing and networking.

News

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  Quarterbacking Catalysts by Positioning Atoms

  April 18, 2018: Materials science researchers at Pacific Northwest National Laboratory used experiments involving graphene, along with calculations run at NERSC, to better understand how oxygen atoms bind with carbon and turn graphene into a unique catalytic support. Read More »

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  Berkeley Lab Researchers Develop Platform for Hosting Science Data Analytics Competitions

  April 16, 2018: NNSA is hosting a competition to find innovative algorithms to detect non-natural radiation sources in urban environments, and they've teamed up with researchers in Berkeley Lab’s Computational Research, Nuclear Science and Information Technology divisions to build a Kaggle-inspired data analytics competition platform to host it. Read More »

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  Helen Cademartori Named CS Deputy for Operations

  April 16, 2018: Helen Cademartori, Biosciences Area Deputy for Operations, is joining the Computing Sciences Area as Deputy for Operations and Operations Deputy for the Computational Research Division (CRD). In her new role, effective… Read More »