I'm trying to minimize the "churn" of memory in R, since I've found that the cost of allocation plus eventual garbage collection is frequently the most expensive part of my program. Being able to make "in place" modifications is helpful, although I don't yet understand when a copy is made of an an argument and when an original is passed. What code would I look at to see how an argument is handled as it is passed from R to an Rcpp function? Does the potential duplication occur only in .Call() or are there Rcpp specific conditions as well?
I think the sort of interface I'm looking for is: outMatrix = operation(inMatrix1, inMatrix2, optionalOutMatrix) If the 'optionalOutMatrix' is of sufficient size for the answer, it will be used and returned. If it's not provided, or too small, a new allocation will be made in the way it is done currently. Are there any existing interfaces to the BLAS and LAPACK libraries that take this form, ideally already using the Rcpp classes? My quick examination of Armadillo hasn't shown me how to make it work in this fashion. My rambling question with more details, measurements, and sample code is here: http://stackoverflow.com/questions/28532493/reusing-existing-memory-for-blas-operations-in-r Thanks, Nathan Kurz n...@verse.com _______________________________________________ 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
