Usability wrapper around snow for easier development of parallel R programs.
Questions tagged [snowfall]
66 questions
0
votes
1 answer
problems with $ using snowFall
I am trying to use snowFall to speed up my code using a cluster. I simplified version of my code would be
library(snowfall)
pbsnodefile = Sys.getenv("PBS_NODEFILE")
machines <- scan(pbsnodefile, what="")
machines
nmach =…
0
votes
1 answer
R Snowfall - Call a parallel function within parallel function?
I have recently started using the Snowfall package in R. I have it working successfully in quite a complicated implementation, as follows (with the y loop processed in parallel):
increment x from 1:100 {
increment y from 1:100 {
…
billelev
- 369
- 2
- 13
0
votes
1 answer
Snowfall's sfApply and sfClusterApplyLB is slower than normal loop or sapply
When i apply this code in R, the loop and sapply are faster than snowfall's functions. What am i doing wrong? (using windows 8)
library(snowfall)
a<- 2
sfInit(parallel = TRUE, cpus = 4)
wrapper <- function(x){((x*a)^2)/3}
sfExport('a')
values <-…
0
votes
2 answers
Using -snowfall- (or other packages) to parallel repeating a user-defined function
This question is related to this one, where I was asking how to replicate a user-defined function. Now I would like to parallelize the operations in order to save time. What I have preliminarly done is:
I have defined a custom function my.fun(),…
Stefano Lombardi
- 1,581
- 2
- 22
- 48
0
votes
0 answers
Returning a separate matrix for each element of the vector passed to 'apply( )'
Been searching around a bit, and haven't found an elegant solution to this issue yet.
I am trying to use the 'snowfall' package to run a simulation on multiple cores. This uses sfApply(), sfSapply, or sfLapply(). To get past the complications of…
user1399311
- 271
- 2
- 12