Argonne National Laboratory

Computing, Environment and Life Sciences

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  • Convergence of AI, Simulations and HPC

    The AI Distinguished Lecture Series feature pioneers and innovators from around the world conducting research in foundational and applied artificial intelligence (AI). The lectures cover a variety of topics in academia, industry, finance and technology.

  • Complex Workflows

    The CCE Complex Workflows (CW) team will identify requirements for production and user-focused workflows, components, and execution environments.

  • Event Generators

    The CCE Event Generators (EG) team will develop, from scratch, a parallel matrix-element generator that runs on new and traditional architecture. This team will coordinate with the HEP Software Foundation EG group and efforts worldwide.

  • IO and Storage

    The CCE-IOS team is helping to optimize I/O performance at scale on U.S. DOE HPC systems by proposing fine-grained parallel I/O and storage solutions. In collaboration with PPS, this team will design data models that map efficiently to memory constructs.

  • Portable Parallelization Strategies

    The CCE PPS team is helping to 1) define strategies to prioritize codes to parallelize and 2) determine how to parallelize these codes in a portable fashion so that the same code base can run on multiple architectures with few or no changes.

  • Machine learning and inverse problems in scientific imaging

    The AI Distinguished Lecture Series feature pioneers and innovators from around the world conducting research in foundational and applied artificial intelligence (AI). The lectures cover a variety of topics in academia, industry, finance and technology.

  • Using AI for Water Level Detection

    Argonne employs computer vision and machine learning to detect water level changes in real time, allowing more accurate predictions of urban flooding.