On Feb 20, 2006, at 7:18 PM, Ross Boylan wrote: > Does anyone have any advice about profiling C/C++ code in a package > under R? Does R need to be built specially for this to work? > > The FAQ has some entries about profiling but they cover R level > profiling; I'm try to get at the C++ code I've written that is > called from R. > > Primary target is Mac OS X. >
If you have an OS X box to work on, then you have a handful of really excellent tools. Have a look at Shark from the CHUD tools (in / Developer/Applications/Performance Tools) Although it's sampling- based (.i.e. no need to gprof - just run sample running R), it is remarkably accurate and has ton of features for what they call 'data mining' of the profile data - including drill-down to source code and even assembly level. You can read a bit at http://developer.apple.com/tools/sharkoptimize.html It proves to be really useful and very flexible. Cheers, Simon ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
