I am trying to use multiple GPU's in parallel using ViennaCL through my
gpuR package. In essence the context is selected at the R level (one
context per device already initialized). Then a matrix is created on that
device. The code looks like this:
create_matrix <- function(id){
# sets context
setContext(id)
# create matrix
mat <- vclMatrix(rnorm(16), nrow=4, ncol=4)
return(mat)
}
# a fork over context 1 and 2
out <- mclapply(1:2, function(x) create_matrix(x))
Yet, strangely this just hangs. It doesn't return anything. Perhaps I am
missing something in how OpenCL contexts are handed in parallel? I ask as
I recall that PETSC had some multi GPU functionality with MPI. The above
makes sense to me without MPI but again I may be missing something.
The actual copying happens in this file at line 36 (
https://github.com/cdeterman/gpuR/blob/develop/src/dynVCLMat.cpp) just
after "starting to copy". It seems almost like it a problem with the class
objects (defined in
https://github.com/cdeterman/gpuR/blob/develop/inst/include/gpuR/dynVCLMat.hpp
).
Any insight would be appreciated.
Regards,
Charles
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