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There are two ways to do this:
for i in xrange(n)
I suspect, that option 2 seems a little better to me, however benchmarking is needed. Benchmarks are already carried out as part of the tests.
this might help http://www.dlr.de/sc/Portaldata/15/Resources/dokumente/PyHPC2013/submissions/pyhpc2013_submission_2.pdf
http://cs.nyu.edu/courses/spring15/CSCI-UA.0480-003/lecture13.pdf
The text was updated successfully, but these errors were encountered:
There is some proof-of-concept in the (outdated) cythonparallel branch. However it needs to be tests if this is actually increasing the performance.
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There are two ways to do this:
for i in xrange(n)
) should be parallelized within cython. This change is to be made in https://github.com/skuschel/postpic/blob/master/postpic/particles/_particlestogrid.pyxI suspect, that option 2 seems a little better to me, however benchmarking is needed. Benchmarks are already carried out as part of the tests.
this might help
http://www.dlr.de/sc/Portaldata/15/Resources/dokumente/PyHPC2013/submissions/pyhpc2013_submission_2.pdf
http://cs.nyu.edu/courses/spring15/CSCI-UA.0480-003/lecture13.pdf
The text was updated successfully, but these errors were encountered: