Choosing a library for the Python programming language for visualizing the operation of parallel algorithms
The research compares the capabilities of several libraries for the Python language, which allow creating a test application and visually demonstrate the operation of a parallel program in real time. It was found that the Python language is often used to develop parallel programs with internal and e...
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| Published in | E3S web of conferences Vol. 508; p. 3002 |
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| Main Authors | , , , , |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Les Ulis
EDP Sciences
01.01.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2267-1242 2555-0403 2267-1242 |
| DOI | 10.1051/e3sconf/202450803002 |
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| Abstract | The research compares the capabilities of several libraries for the Python language, which allow creating a test application and visually demonstrate the operation of a parallel program in real time. It was found that the Python language is often used to develop parallel programs with internal and external libraries. To provide multithreading and parallelism, applications created in Python use external libraries, including mpi4py.futures, PETSc for Python, MPI for Python, d2o, Playdoh, PyOMP, and others. Visualization and animation of the operation of parallel programs will help to understand the principles of parallel computing. We compared test applications created with the use of Matplotlib, Seaborn, Plotly, Bokeh, Pygame, PyOpenGL libraries. According to the results of the observation, it was found that the Seaborn library is the best choice for developing a test application for animating the operation of a parallel program. |
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| AbstractList | The research compares the capabilities of several libraries for the Python language, which allow creating a test application and visually demonstrate the operation of a parallel program in real time. It was found that the Python language is often used to develop parallel programs with internal and external libraries. To provide multithreading and parallelism, applications created in Python use external libraries, including mpi4py.futures, PETSc for Python, MPI for Python, d2o, Playdoh, PyOMP, and others. Visualization and animation of the operation of parallel programs will help to understand the principles of parallel computing. We compared test applications created with the use of Matplotlib, Seaborn, Plotly, Bokeh, Pygame, PyOpenGL libraries. According to the results of the observation, it was found that the Seaborn library is the best choice for developing a test application for animating the operation of a parallel program. |
| Author | Naumuk, Oleksii Sitsylitsyn, Yurii Kolmakova, Vira Lubko, Dmytro Sharov, Sergii |
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| Cites_doi | 10.1063/5.0094433 10.1016/j.advwatres.2011.04.013 10.1109/TPDS.2022.3225481 10.3991/ijet.v18i02.36431 10.5120/7058-9799 10.1109/IPDPSW.2019.00061 10.1109/MCSE.2021.3128806 10.47760/ijcsmc.2022.v11i01.027 10.1016/j.jocs.2011.06.002 10.3390/s23073467 10.1007/s11334-016-0275-9 10.25007/ajnu.v10n3a1145 |
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| SubjectTerms | Algorithms Animation C plus plus Libraries Machine learning Object oriented programming parallel computing Parallel programming Pedagogy programming Programming languages Python Real time Software |
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| Title | Choosing a library for the Python programming language for visualizing the operation of parallel algorithms |
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