[Numpy-discussion] Proposed fix for MKL and dynamic loading

Matthieu Brucher matthieu.brucher@gmail....
Thu Jan 21 06:40:15 CST 2010


2010/1/21 Dag Sverre Seljebotn <dagss@student.matnat.uio.no>:
> Matthieu Brucher wrote:
>>> try:
>>>    import sys
>>>    import ctypes
>>>    _old_rtld = sys.getdlopenflags()
>>>    sys.setdlopenflags(_old_rtld|ctypes.RTLD_GLOBAL)
>>>    from numpy.linalg import lapack_lite
>>> finally:
>>>    sys.setdlopenflags(_old_rtld)
>>>    del sys; del ctypes; del _old_rtld
>>>
>>
>> This also applies to scipy code that relies on BLAS as well. Lisandra
>> Dalcin gave me a tip that is close to this one some months ago
>> (http://matt.eifelle.com/2008/11/03/i-used-the-latest-mkl-with-numpy-and.../).
>> The best official solution is to statically link against the MKL with
>> Python.
>>
>>
> IIUC, it should be enough to load the .so-s in GLOBAL mode once. So it
> is probably enough to ensure NumPy is patched in a way so that SciPy
> loads NumPy which loads the .so-s in GLOBAL mode, so that a seperate
> patch for SciPy is not necesarry. (Remains to be tried, I'm moving on to
> building SciPy now.)

Indeed, it should be enough.

> As for static linking, do you mean linking MKL into the Python
> interpreter itself? Or statically linking with NumPy?

statically linking with numpy. This is what was advised to me by Intel.

Matthieu
-- 
Information System Engineer, Ph.D.
Blog: http://matt.eifelle.com
LinkedIn: http://www.linkedin.com/in/matthieubrucher


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