Thanks for all these good suggestions. StatsLib as suggested by Yixuan seems especially straightforward. I may yet find that dpois and dbinom from R are threadsafe. Murray
On Tue, Apr 17, 2018 at 5:34 AM, Balamuta, James Joseph < balam...@illinois.edu> wrote: > Greetings and Salutations, > > > > There is also the boost header libraries that you can use: > > > > https://www.boost.org/doc/libs/1_67_0/doc/html/boost_random.html > > > > Gallery example: http://gallery.rcpp.org/articles/timing-normal-rngs/ > > > > If you need parallel draws, see the sitmo engine: > https://github.com/coatless/sitmo > > > > Also, you may wish to consider the rTRNG library: https://github.com/ > miraisolutions/rTRNG > > > > Sincerely, > > > > JJB > > > > *From: *<rcpp-devel-boun...@lists.r-forge.r-project.org> on behalf of > Yixuan Qiu <yixu...@gmail.com> > *Date: *Monday, April 16, 2018 at 11:53 AM > *To: *Murray Efford <murray.eff...@gmail.com> > *Cc: *"rcpp-devel@lists.r-forge.r-project.org" < > rcpp-devel@lists.r-forge.r-project.org> > *Subject: *Re: [Rcpp-devel] Distribution functions threadsafe in > RcppParallel? > > > > For your information, here is a header-only library for distribution > functions: https://github.com/kthohr/stats > > The API seems to be designed to mimic the R API. > > Best, > > Yixuan > > > > 2018-04-15 23:56 GMT-04:00 Murray Efford <murray.eff...@gmail.com>: > > Thanks. This is all happening inside a package for CRAN, so I would rather > avoid more complexity and potential platform-dependence, but I also cannot > afford for it to break unpredictably (or otherwise). > > Murray > > > > On Mon, Apr 16, 2018 at 3:33 PM, Dirk Eddelbuettel <e...@debian.org> wrote: > > > On 16 April 2018 at 13:41, Murray Efford wrote: > | I read in the RcppParallel blurb "The code that you write within parallel > | workers should not call the R or Rcpp API in any fashion", which is > | admirably clear. However, it leaves me without threadsafe access to > | distribution functions (dpois, dbinom etc.). In practice, so far, these R > | API calls seem to work for me, but can they be trusted? Is there an > | alternative? > > That's a fair question. They may work, as they are also exposed / available > via the standalone R math library (see Writing R Extensions). > > As such, they may not required memory allocations or other interactions > with > the R process and hence "not call R ... in any fashion" per the above. > > But we can't say for sure. If you want to be safe, maybe stick to > equivalent functions from a non-R source: C++11, Boost, ... > > Dirk > > > | (It seems this question must have arisen before, but I haven't found an > | answer) > > -- > http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org > > > > > _______________________________________________ > Rcpp-devel mailing list > Rcpp-devel@lists.r-forge.r-project.org > https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel > > > > > -- > > Yixuan Qiu <yixu...@gmail.com <yixuan....@cos.name>> > Department of Statistics, > Purdue University >
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