[Rcpp-devel] RCppParallel Example Crashing R (Cross-Post from SO)
Justace Clutter
justacec at gmail.com
Mon Nov 24 04:57:01 CET 2014
I would say that was it... Thanks for catching that. Sometimes the
smallest thing can get you. I have updated the SO question with the answer.
Now that I got this working I am seeing great speed improvements:
b1 = R native code
b2 = Rcpp non parallel
b3 = Rcpp parallel
test replications elapsed relative user.self sys.self user.child sys.child
1 b1() 10 1760.65 78.776 1753.76 0.56 NA NA
2 b2() 10 128.78 5.762 128.38 0.05 NA NA
3 b3() 10 22.35 1.000 170.68 0.06 NA NA
On Sun, Nov 23, 2014 at 9:15 PM, Yixuan Qiu <yixuan.qiu at cos.name> wrote:
> Hello Justace,
> It seems that you should write down j < end rather than j <= end.
>
>
> Best,
> Yixuan
>
> 2014-11-23 21:10 GMT-05:00 Justace Clutter <justacec at gmail.com>:
>
>> I posted the following to SO earlier this morning and it was suggested
>> that I repost this question to the rcpp-devel list for exposure. For
>> reference, the original posting is at
>> http://stackoverflow.com/questions/27089888/rcppparallel-example-crashing-r
>> .
>>
>> I have been trying to parallelize one of my Rcpp routines. In doing so I
>> have been trying to follow the [Parallel Distance Calculation](
>> http://gallery.rcpp.org/articles/parallel-distance-matrix/) example from
>> jjalaire. Unfortunately, once I got everything coded up and started to
>> play around, my R session would crash. Sometimes after the first
>> execution, sometimes after the third. To be honest, it was a crap shoot as
>> to when R would crash when I ran the routine. So, I have paired down my
>> code to a small reproducible example to play with.
>>
>> ***Rcpp File (mytest.cpp)***
>>
>> ------------------------------------------------------------------------------------------------------------
>> #include <Rcpp.h>
>> // [[Rcpp::depends(RcppParallel)]]
>> #include <RcppParallel.h>
>>
>> using namespace std;
>> using namespace Rcpp;
>> using namespace RcppParallel;
>>
>> struct MyThing : public Worker {
>> RVector<double> _pc;
>> RVector<double> _pcsd;
>>
>> MyThing(Rcpp::NumericVector _pc, Rcpp::NumericVector _pcsd) :
>> _pc(_pc), _pcsd(_pcsd){}
>>
>> void operator()(std::size_t begin, std::size_t end) {
>>
>> for(int j = begin; j <= end; j++) {
>> _pc[j] = 1;
>> // _pcsd[j] = 1;
>> }
>> }
>> };
>>
>> // [[Rcpp::export]]
>> void calculateMyThingParallel() {
>>
>> NumericVector _pc(100);
>> NumericVector _pcsd(100);
>>
>> MyThing mt(_pc, _pcsd);
>>
>> parallelFor(0, 100, mt);
>> }
>>
>> ------------------------------------------------------------------------------------------------------------
>>
>>
>> ***R Compilation and Execution Script (mytest.R)***
>>
>> ------------------------------------------------------------------------------------------------------------
>> library(Rcpp)
>> library(inline)
>>
>> sourceCpp('mytest.cpp')
>>
>> testmything = function() {
>> calculateMyThingParallel()
>> }
>>
>> if(TRUE) {
>> for(i in 1:20) {
>> testmything()
>> }
>> }
>>
>> ------------------------------------------------------------------------------------------------------------
>>
>> The error seems to be directly related to my setting of the _pc and _pcsd
>> variables in the `operator()` method. If I take those out things
>> dramatically improve. Based on the Parallel Distance Calculation example,
>> I am not sure what it is that I have done wrong here. I was under the
>> impression that RVector<type> was thread safe. Although that is my
>> impression, I know this is an issue with threads somehow. Can anybody help
>> me to understand why the above code randomly crashes my R sessions?
>>
>> For information I am running the following:
>>
>> - Windows 7
>> - R: 3.1.2
>> - Rtools: 3.1
>> - Rcpp: 0.11.3
>> - inline: 0.3.13
>> - RStudio: 0.99.62
>>
>>
>> _______________________________________________
>> Rcpp-devel mailing list
>> Rcpp-devel at lists.r-forge.r-project.org
>> https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
>>
>
>
>
> --
> Yixuan Qiu <yixuan.qiu at cos.name>
> Department of Statistics,
> Purdue University
>
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