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Field
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cluster & GPUs — and deep integration with clinical data including electronic health records A diverse array of ongoing research, education, patient care, and community centered activities that require
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the following is preferred: Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Statistics, linear algebra, and data structures Exploratory data analysis and
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tuned for thermal transport and fire dynamics. FDS has been scaled up to 10,000 cores on Titan. The aim of this project is to improve code performance for serial, OpenMP, MPI, and potentially GPU
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