RT Journal Article
T1 OMP4Py: A pure Python implementation of openMP
A1 Piñeiro Pomar, César Alfredo
A1 Pichel Campos, Juan Carlos
K1 OpenMP
K1 Python
K1 Parallelism
K1 Multithreading
K1 Scalability
AB Python demonstrates lower performance in comparison to traditional high performance computing (HPC) languages such as C, C++, and Fortran. This performance gap is largely due to Python’s interpreted nature and the Global Interpreter Lock (GIL), which hampers multithreading efficiency. However, the latest version of Python includes the necessary changes to make the interpreter thread-safe, allowing Python code to run without the GIL. This important update will enable users to fully exploit multithreading parallelism in Python. In order to facilitate that task, this paper introduces OMP4Py, the first pure Python implementation of OpenMP. We demonstrate that it is possible to bring OpenMP’s familiar directive-based parallelization paradigm to Python, allowing developers to write parallel code with the same level of control and flexibility as in C, C++, or Fortran. The experimental evaluation shows that OMP4Py significantly impacts the performance of various types of applications, although the current threading limitations of Python’s interpreter (v3.13) reduce its effectiveness for numerical
PB Elsevier
SN 0167-739X
YR 2025
FD 2025-08-05
LK https://hdl.handle.net/10347/43354
UL https://hdl.handle.net/10347/43354
LA eng
NO Piñeiro, C., & Pichel, J. C. (2025). OMP4Py: A pure Python implementation of OpenMP. ”Future Generation Computer Systems”, 175. https://doi.org/10.1016/j.future.2025.108035
NO This work was supported by MICINN, Spain [PLEC2021-007662, PID2022-137061OB-C22]; Xunta de Galicia, Spain [ED431G 2019/04, ED431F 2020/08, ED431C 2022/16]; and European Regional Development Fund (ERDF) .
DS Minerva
RD 28 abr 2026