GCC provides support for OpenMP starting from its version 4.2.0. STEP 1: Check the GCC version of the compiler gcc -version. To check the current state of the threadpool-enabled runtime libraries that are loaded when importing Python packages, you can use the threadpool_info() function. A simple scenario to showcase the power of OpenMP would be comparing the execution time of a normal C/C++ program and the OpenMP program. For a lighter installation (preferred for computing clusters), one can use miniconda. We recommend the use of the free package manager Anaconda which installs Python and manages its packages. ![]() To install this package, run the following command on the terminal: QuSpin is currently being supported for Python 3 which are a prerequisite. You can use the threadpoolctl (Thread-pool Controls) Python package to limit the number of threads used in native libraries (e.g., sklearn, NumPy, xgboost, etc.) that handle their own internal threadpool (BLAS and OpenMP implementations).
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