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parallel and distributed systems, including performance tuning Programming and tooling such as C/C++, Python, CUDA, OpenMP, and Spack Linux-based systems, scripting, Slurm, and general systems engineering
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applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering practices for scientific software (version control, testing, continuous
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Circuits and Systems Group at ETH Zurich focuses on advancing energy-efficient computing across the full performance spectrum, from ultra-low-power IoT nodes to high-performance systems. Its research
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