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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a
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of the following tasks: Generation of fiber filters in multicore fibers (UV; CO2; or heat induced); Real time data acquisition for shape reconstruction through distributed FBG in multicore fibers; Development of a
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a
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between technical and professional development. The RSE will be part of the recently established UD’s First State AI Institute (please check out the operational AI Center of Excellence https
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied