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. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU
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, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
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languages such as CUDA. Strong understanding of computer architecture, memory systems and parallel algorithms. Experience with profiling and debugging tools for GPU applications desired, such as NVIDIA
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. • Experience with sonar-related signal processing, target tracking, and classification algorithms. • Experience with image processing. • Experience with Intel IPP, Intel MKL, Intel oneAPI, Matlab, CUDA, and real
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 2 months ago
requested for candidates who are invited to interview. Questions about the position may be directed to Anthony Cuda, Search Committee Chair, at ajcuda@uncg.edu . The review of applications will begin
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08.04.2022, Wissenschaftliches Personal Development of Lattice-Boltzmann solver, programming in C/C++ and CUDA, implementation on GPU cluster, testing of real-time capable software on flight