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If the gputools package is installed, it will provide R interfaces to a handful of common statistical algorithms. These algorithms are implemented in parallel using a mixture of Nvidia's CUDA langauge, Nvidia's CUBLAS library, and EMI Photonics' CULA libraries. On a computer equiped with an Nvidia GPU some of these functions may be substantially more efficient than native R routines.
Sample R script for test (test.R)
Source: https://www.r-bloggers.com/2007/08/including-arguments-in-r-cmd-batch-mode/
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##First read in the arguments listed at the command line
args=(commandArgs(TRUE))
##args is now a list of character vectors
## First check to see if arguments are passed.
## Then cycle through each element of the list and evaluate the expressions.
if(length(args)==0){
print("No arguments supplied.")
##supply default values
a = 1
b = c(1,1,1)
}else{
for(i in 1:length(args)){
eval(parse(text=args[[i]]))
}
}
print(a*2)
print(b*3) |
Sample script to run on flashlite cluster
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