Teaching Parallel Programming with Python for Research Computing

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.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-23
DOI
https://doi.org/10.5281/zenodo.21512575
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Teaching Parallel Programming with Python for Research Computing

Krassen Stefanov
Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

Teaching Parallel Programming with Python for Research Computing

Krassen Stefanov
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Computational Physics and Python Applications
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Teaching Parallel Programming with Python for Research Computing — Krassen Stefanov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS