On 7/18/2016 1:38 AM, Tony Kelman wrote:
Eliot Moss cs.umass.edu> writes:
True ... it also made me think of Python, which is designed to use
parallelized numpy (etc.) libraries, optimized for your platform.
Can use all the hardware threads on your machine, as well as make
good use of vector ex
Eliot Moss cs.umass.edu> writes:
> True ... it also made me think of Python, which is designed to use
> parallelized numpy (etc.) libraries, optimized for your platform.
> Can use all the hardware threads on your machine, as well as make
> good use of vector extensions such as AVX. A 64-bit (x86
On 7/17/2016 7:56 AM, Tony Kelman wrote:
Thomas Koenig netcologne.de> writes:
This is more of a general numerical ODE or Sundials usage question
rather than a cygwin specific one, but I would try openmp or mpi on
your function evaluations first, if that's taking most of the time.
Do you know
Thomas Koenig netcologne.de> writes:
>
> I am working on a non-linear, boring system of ODEs, boring being
> defined as non-stiff and without other numerical surprises.
> So, CV_ADAMS works well.
>
> The only interesting part is that there are very many of the ODEs,
> around 3 at the moment
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