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The ASA architecture can be used to accelerate sparse accumulation for GraphBLAS to deliver much faster performance and energy efficiency for those operations. RhizoNet harnesses the power of artificial intelligence to transform how we study plant roots, offering new insights into root behavior under various environmental conditions. It uses EcoFAB (shown here), a novel hydroponic device that facilitates in-situ plant imaging by offering a detailed view of plant root systems. (Credit: Thor Swift, Berkeley Lab) The Superfacility model connecting DIII-D and NERSC via ESnet enabled DIII-D to send fusion experiment data to NERSC’s Perlmutter supercomputer for large-scale automated analysis and high-fidelity reconstruction of plasma pulses. Dr. Lin Lin (left), a faculty scientist in the Applied Mathematics and Computational Research division at Berkeley Lab and a Professor of Mathematics at the University of California, Berkeley; and Dr. Xin Xing (right), a former postdoctoral scholar from Lin’s group at UC Berkeley who is now at Apple. Daniel Martin (right) presents a retirement plaque to his mentor, Phillip Colella (left). David Brown Chao Yang During the symposium, postdoctoral researchers currently working at the Lab shared 10-minute slide presentations on their projects with an audience of peers, mentors, and coworkers, followed by interactive Q&As throughout the day Hurricane Patricia Bears Down on Mexico's Pacific Coast on October 23, 2015. Image Credit: NASA Goddard Spaceflight Center Reconstructions of a material sample from a sparse set of projection data using TomoCAM, conventional MBIR, and direct approximation methods. TomoCAM delivers higher-quality reconstructions compared to direct approximation methods while being 15 times faster than conventional MBIR methods.
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