High performance computing was key to the December 5 breakthrough at the National Ignition Facility.
Topic: Algorithms at Scale
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Two supercomputers powered the research of hundreds of scientists at Livermore’s NNSA National Ignition Facility, which recently achieved ignition.
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Our researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,500 individual members.
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Algorithms at Scale | Computational Math | Computational Science | Data Science | Deep Learning | Discrete Mathematics | Exascale | Fault Tolerance and Resilience | HPC Systems and Software | PDE Methods | Performance, Portability, and Productivity | Programming Languages and Models | UQ and Statistics
StarSapphire is a collection of scientific data mining projects focusing on the analysis of data from scientific simulations, observations, and experiments.
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LLNL's interconnection networks projects improve the communication and overall performance of parallel applications using interconnect topology-aware task mapping.
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Highlights include the HYPRE library, recent data science efforts, the IDEALS project, and the latest on the Exascale Computing Project.
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Researchers are testing and enhancing a neutral particle transport code and its algorithm to ensure that they successfully scale to larger and more complex computing systems.
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A new algorithm for use with first-principles molecular dynamics codes enables the number of atoms simulated to be proportional to the number of processors available.
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