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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with
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to roll out an advisory track in Computer Engineering, we are seeking qualified experts in Computer Networks, Computer Organization, Data Analytics, Cyber Security and Privacy, Edge/Fog/GPU Computing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
familiarity with HPC concepts, GPUs, usage, and management; and familiarity with scientific research software typically used in scientific academic departments. Strong communication skills and customer-service
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cluster supports codes with distributed (MPI), shared (OpenMP), and GPU (CUDA, NVidia A100) parallelization and has high-speed scratch storage and InfiniBand interconnect systems. Teaching The College
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/SCI Clearance Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear
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the College of Engineering. UNLV GPU Cluster (named RebelX) is also available for A.I. research and education. Detailed information about the CEEC Department can be found at: http://www.unlv.edu/ceec MINIMUM
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of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has
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gun, associated diagnostics resources, and well-equipped high-speed and reacting flow laboratories. The National Center for Supercomputing Applications houses the most performant GPU-based systems and
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%) Use tools to identify opportunities to improve performance or understand resource use (utilization of cores, memory, GPU, etc.) in AI workflows. Engage with Ohio, regional and national professional