Python在并行计算中的性能限制主要由全局解释器锁（GIL）和解释执行模式导致。新版Python 3.13通过禁用GIL并实现多线程原生支持，为Python并行化提供了基础。本文提出OMP4Py，首个纯Python实现的OpenMP标准库，支持并行区域、工作共享构造和任务调度。实验表明 ...

I have been frequently asked when the OpenMP and OpenACC directive APIs for parallel programming will merge, or when will one of them (usually OpenMP) will replace the other. I doubt the two APIs will ...

Python will be the fourth officially-supported language in the OpenMP API; Leading Python infrastructure company Anaconda ...

DALLAS--(BUSINESS WIRE)--The OpenMP ® Architecture Review Board (ARB) has released Technical Report 11, the first preview of the future version 6.0 of the OpenMP API and version 5.2.1 of the ...

BEAVERTON, Ore.--(BUSINESS WIRE)--The OpenMP Architecture Review Board (ARB), which develops the standard API specification for shared-memory parallelization, welcomes Jack Dongarra to its Board of ...

For a long time now, researchers have been working on automating the process of breaking up otherwise single-threaded code to run on multiple processors by way of multiple threads. Results, although ...

Because the August issue's theme is programming, I thought I should cover some of the more-advanced features available in OpenMP. Several issues ago, I looked at the basics of using OpenMP, so you may ...

OpenMP is the unsung backbone of parallel computing, powerful, portable, and surprisingly simple. Used everywhere from aerospace to AI, it lets developers tap into multicore and GPU performance with ...