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, and tools used to program, profile, and debug parallel scientific applications and workflows, such as MPI, OpenMP, CUDA, C++, Rust, Python, or Fortran. Knowledge of the Linux environment. Excellent
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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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. Demonstrated experience performing research and technical work supporting DoD customers, including but not limited to AFRL 4. Research involving parallel distributed autonomy applications 5. Experience with
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science education, computer vision, cybersecurity, data mining, high-performance computing, human factors in computing, Internet of Things, parallel and distributed computing, social computing, software engineering