I'm developing packages with CUDA, and I'm running into a problem with memory allocation. Since CUDA involves memory on the GPU device it requires that the program handle memory allocation and deallocation separately from R. The simplest case of allocating a char and then deallocating causes a segmentation fault when R closes. Not on garbage collection but only on exit. Is there anything in the R internals that explain why this is happening? The relevant C++ code is --- void gpualloctest(){ char * _a; cudaMalloc(&_a,sizeof(char)); cudaFree(_a); _a=NULL; } --- from gpu.cu gputest<-function(){ cat("testing allocation on gpu\n") Module('test','gputest')$gpualloctest() cat("Test successful\n") cat("Collecting Garbage\n") gc() cat("done.\n") } --- from gputest.R As you can see Rcpp is used to interface with the C++ code, but the Rcpp is not the problem, but happened to be convenient to use to get the configure scripts right for the CUDA cu files. The results from running "valgrind Rscript testgpu.R" are linked to in testgpu.log but do not show anything interesting. Can anyone give any insight? Thanks, Andrew Redd Links to files: http://andrewredd.us/gputest/testgpu.R http://andrewredd.us/gputest/testgpu.Rout http://andrewredd.us/gputest/gputest_1.0.tar.gz http://andrewredd.us/gputest/testgpu.log