Unlocking Python Multithreading Capabilities using OpenMP-Based Programming with OMP4Py

César Piñeiro

doi:10.1109/CGO68049.2026.11395224

2026-01-01

PRE

César Piñeiro *

Juan C. Pichel

DOI：10.1109/CGO68049.2026.11395224

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摘要

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Python在性能上相较于C、C++和Fortran等传统高性能计算（HPC）语言表现较差。这种性能差距主要源于Python的解释性本质和全局解释器锁（GIL），限制了多线程效率。然而，Python解释器中引入的无GIL变体为更有效地利用Python中的多线程并行性打开了大门。基于这一重要新特性，我们介绍了OMP4Py，旨在将OpenMP熟悉的基于指令的并行化范式引入Python。其双运行时架构设计结合了纯Python实现的优点以及实现计算密集型任务所需的高性能和底层能力。通过这种方式，OMP4Py既提供了完整的Python支持，又满足了HPC工作负载所需的高性能。

Keyword:

OpenMP

Python

Multithreading

Performance

Scalability

期刊

2026 IEEE/ACM INTERNATIONAL SYMPOSIUM ON CODE GENERATION AND OPTIMIZATION, CGO

IF:

论文数:

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机构

Universidade de Santiago de Compostela

学者数:

1.5W

论文数: 1.3W

被引数: 1.4W

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