This is the mail archive of the cygwin mailing list for the Cygwin project.

Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]
Other format: [Raw text]

Re: Parallelization

On 7/17/2016 7:56 AM, Tony Kelman wrote:

Thomas Koenig <tkoenig <at> 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 whether sundials is thread-safe?


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 (x86-64)
version will give best use of vector processing, in my
experience.

Regards -- Eliot Moss

--
Problem reports:       http://cygwin.com/problems.html
FAQ:                   http://cygwin.com/faq/
Documentation:         http://cygwin.com/docs.html
Unsubscribe info:      http://cygwin.com/ml/#unsubscribe-simple
Index Nav: [Date Index] [Subject Index] [Author Index] [Thread Index]
Message Nav: [Date Prev] [Date Next] [Thread Prev] [Thread Next]