Memory related issues with OpenMP + OneDAL and OpenMP + Scikit-learn

OneDAL: When build with OpenBLAS with OpenMP backend and running DBScan, it throws memory related error as follows:
OpenBLAS warning: precompiled NUM_THREADS exceeded, adding auxiliary array for thread metadata. To avoid this warning, please rebuild your copy of OpenBLAS with a larger NUM_THREADS setting or set the environment variable OPENBLAS_NUM_THREADS to 32 or lower BLAS : Bad memory unallocation! : 576 0xff4e09000000

OpenBLAS Build Command (OneDAL): make USE_OPENMP=1

Scikit-learn: When build with OpenBLAS with NUM_PARALLEL>=30 (I am trying to modify OpenBLAS and it requires to use NUM_PARALLEL=30) and using KMeans it throws similar memory related error as above

OpenBLAS Build Command (Scikit-learn): make USE_OPENMP=1 NUM_PARALLEL=30

I suspect this is happening because of how locks are used around buffer allocation and de-allocation in memory.c. I am not able to find the exact cause and would love to have some help from the community in resolving it.

Start by inspecting memory.c, focusing on the buffer allocation and de-allocation paths and their locks. Reproduce the issue with the reported OpenBLAS build settings while running DBScan or KMeans, then verify that the memory warning and bad unallocation no longer occur.