Course design integrates Python parallel programming techniques in a Master's-level curriculum, enhancing computational skills.
This short paper presents the design of a Master’s-level course in parallel programming with Python in the High Performance Computing program at Sofia University, aligned with the EUMaster4HPC curriculum. The course integrates threading, multiprocessing, asynchronous programming, vectorization, GPU programming, distributed programming in Python, and higher-level distributed frameworks such as Dask and Ray.
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Krassen Stefanov (2026) studied this question.
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