If I have understood the question correctly, you could make use of SciPy’s Cython wrappers for BLAS and LAPACK routines. These wrappers are documented here: BLAS LAPACK As the documentation states, you are responsible for checking that any arrays that you pass to these functions are aligned correctly for the Fortran routines. You can simply … Read more
That’s bug no 961964 of MATLAB known since R2012b (8.0). MATLAB dynamically loads some libs with static TLS (thread local storage, e.g. see gcc compiler flag -ftls-model). Loading too many such libs => no space left. Until now mathwork’s only workaround is to load the important(!) libs first by using them early (they suggest to … Read more
The method numpy.show_config() (or numpy.__config__.show()) outputs information about linkage gathered at build time. My output looks like this. I think it means I am using the BLAS/LAPACK that ships with Mac OS. >>> import numpy as np >>> np.show_config() lapack_opt_info: extra_link_args = [‘-Wl,-framework’, ‘-Wl,Accelerate’] extra_compile_args = [‘-msse3’] define_macros = [(‘NO_ATLAS_INFO’, 3)] blas_opt_info: extra_link_args = [‘-Wl,-framework’, … Read more
BLAS is a collection of low-level matrix and vector arithmetic operations (“multiply a vector by a scalar”, “multiply two matrices and add to a third matrix”, etc …). LAPACK is a collection of higher-level linear algebra operations. Things like matrix factorizations (LU, LLt, QR, SVD, Schur, etc) that are used to do things like “find … Read more