Three of the newest National Nuclear Security Administration (NNSA) commodity computing clusters recently deployed at Lawrence Livermore National Laboratory (LLNL) and Sandia National Laboratories (SNL) are among the most powerful supercomputing systems in the world, Top500 organizers announced Monday. Funded under the second Commodity Technology Systems contract (CTS-2) by NNSA’s Advanced Simulation and Computing (ASC) program, […]

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A Lawrence Livermore National Laboratory (LLNL)-led effort that performed an unprecedented global climate model simulation on the world’s first exascale supercomputer has won the first-ever Association for Computing Machinery (ACM) Gordon Bell Prize for Climate Modelling, ACM officials announced Thursday. The Simple Cloud Resolving E3SM Atmosphere Model (SCREAM) team, led by LLNL staff scientist Peter Caldwell and […]

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Data researchers, developers, data managers and program managers from the Department of Energy national laboratories visited Lawrence Livermore National Laboratory Oct. 24-26 to discuss the latest in data management, sharing and accessibility at the 2023 DOE Data Days (D3) workshop. The three-day event, sponsored by the National Nuclear Security Administration’s (NNSA) Office of Defense Nuclear […]

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With the advent of the exascale supercomputing era, computational scientists can run simulations at higher resolutions, add more detailed physical phenomena, increase the size of the physical problems, and couple multiple codes spanning both physical and temporal scales. These exascale simulations generate ever-increasing amounts of data. The Data and Visualization efforts in the US Department […]

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With Exascale Day coming up tomorrow, we're kicking off the annual observance with this video from Lawrence Livermore National Laboratory. Once fully operational, the National Nuclear Security Administration’s (NNSA) first exascale supercomputer will perform critical modeling and simulation functions to support America’s nuclear stockpile. But a system as large and complex....

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The award winners include a software suite that helps apply deep learning techniques to science and data challenges in cancer research; software that helps better understand the power, energy and performance of supercomputers; and a number format that permits fast, accurate data compression for modern supercomputer applications.

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As machine learning techniques become increasingly used in the sciences, a team of researchers in Lawrence Livermore National Laboratory’s Computing and Physical and Life Sciences directorates are trying to provide a reasonable starting place for scientists who want to apply machine learning but lack a strong ML background. The goal is to help users understand […]

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July 6, 2023 — Lawrence Livermore National Laboratory (LLNL) Director Kim Budil has been selected by Fast Company as one of the Most Creative People in Business for 2023. The annual list, in its 15th year, recognizes individuals making an impact in society via daring achievements in their chosen fields, from tech to design to healthcare. Budil was selected […]

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With pictures to prove it, Lawrence Livermore National Laboratory announced today it has begun receiving and installing components for El Capitan, what is expected to be the third exascale-class supercomputer in the U.S. The laboratory shared photos on social media today. Projected to exceed 2 exaflops, El Capitan will likely be the most powerful supercomputer […]

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