Hi Joseph,
On 9/28/18 3:26 AM, Joseph Wood wrote:
> I understand that parallelism is not a magic wand. Have you read my
> original post? I have managed to parallelize generating permutations
> by taking advantage of the fact that I can generate the ith
> permutation via nthPerm. My question is abo
Thank you Jeff for your reply,
I understand that parallelism is not a magic wand. Have you read my
original post? I have managed to parallelize generating permutations
by taking advantage of the fact that I can generate the ith
permutation via nthPerm. My question is about making this thread safe
You cannot parallelize a serial calculation. Sorry, parallelism is not a magic
wand that you can wave at any problem. If you find portions of your
calculations are independent, then you can parallelize those portions and do
the rest serially.
On September 27, 2018 5:04:52 PM PDT, Joseph Wood w
Hey Ralf and Alexis,
Thank you so much for your replies. All of the resources and
information are very much appreciated.
Alexis, yes I have looked at many examples including the one you
linked to dealing with matrix transform. I'm really glad you linked
that, because this is a perfect example of
I'm not sure I understand the problem. You've found RcppParallel, have you
looked at the examples? There's one with handling matrices here:
http://gallery.rcpp.org/articles/parallel-matrix-transform/
In the call to parallelFor() you can change the values you iterate over and
change your logic bas
I haven’t read your message in detail, but the second example from here might
be helpful:
https://cran.r-project.org/web/packages/dqrng/vignettes/parallel.html
There a matrix is filled in parallel by splitting the columns among the
threads. Splitting by columns is helpful since matrices in R ar
