On 30 September 2015 at 10:20, Juha Jeronen <juha.jero...@jyu.fi> wrote:
> > Are we putting Cuthon in Numpy now? I lost track. >> > > I thought so? But then again, I'm just a user :) As of this moment, there are three Cython modules in Numpy, so yes. Releases ship the C generated modules, so it is not a dependency. ./numpy/distutils/tests/pyrex_ext/primes.pyx ./numpy/random/mtrand/mtrand.pyx ./tools/allocation_tracking/alloc_hook.pyx In any case, we should always include a single threaded version because sometimes the computations are already parallelised at a higher level. Is there a nice way to ship both versions? After all, most implementations of BLAS and friends do spawn OpenMP threads, so I don't think it would be outrageous to take advantage of it in more places; provided there is a nice way to fallback to a serial version when it is not available. /David.
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