Please see the R posting guide (the footer of this and every R-help
message).
- This is not an R-help question but an R-devel one.
- You have not told us your OS, nor any of the 'at a minimum' information
requested in the posting guide.
But look at nm -g myFunc.so to see what symbols are exported.
Please post any follow-up help request on R-devel, with as far as possible
a completely reproducible example.
On Tue, 4 Nov 2008, MarcelK wrote:
Hello,
I'm trying to combine the parallel computing power available through NVIDIA
CUDA (www.nvidia.com/cuda) from within R. CUDA is an extension to the C
language, so I thought it would be possible to do this.
If I have a C file with an empty function which includes a needed CUDA
library (cutil.h) and compile this to an .so file using a NVIDIA compiler
(nvcc), called 'myFunc.so' I can load this fine from within R with
dyn.load("myFunc.so").
But, as soon as I want to call it's function I get:
dyn.load("myFunc.so")
.C("testFunc")
Error in .C("testFunc") : C symbol name "testFunc" not in load table
The myFunc.c file looks like this:
#include<cutil.h>
#include<stdio.h>
#include<stdlib.h>
#include<R.h>
void testFunc() {
printf("Hello!\n");
}
The problem is that NVIDIA has their own C compiler (nvcc) which is needed
to compile code for their devices. This compiler calls 'gcc' (or Windows C
compiler) for all standard C code, so setting the 'CC = nvcc' might still
work when using 'R CMD SHLIB' to compile C files to shared libraries. But as
far as I know, if I use the same flags R CMD SHLIB uses (nvcc passes them to
gcc) it should work..
Can anyone point me in the right direction?
Thanks in advance.
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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