hi, all. i've had great success speeding up my computations using Rcpp/C++. (thanks to the list for the help getting up and running.)
but... now, when i scale up (from a 554x415 matrix to a 2592x1936 matrix), my run time slows down, and experimenting, it seems it's the cost of copying my dataset between R and C++ that is taking the time. (i drive the process from R, and have 4 passes that are processed in C++.) i could leave all the data in C++-land, but for investigating the data, etc., i would really like to be able to access it from the R side. any suggestions on how to proceed? i'm currently shipping a list of S4 objects and a numeric matrix across the interface. would converting both to be reference classes allow me to avoid the copies, but still access both from the R side? (if i have to pay a performance penalty for access, i'd rather pay it from the R side, as long as it isn't too onerous.) cheers, Greg _______________________________________________ Rcpp-devel mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
