Parallel: Imitate monitoring when using parLapply like pblapply does
I would like to know if there is a way to monitorize a process using parLapply (parallel) like pblapply does. Here is just a simple code to try it:
library(parallel)
library(pbapply)
f <- function (x) {return <- (x^2)^2}
f.list <- list(50000000:200000000)
# pblapply
f1 <-pblapply(f.list,f)
# parLapply - Usable in linux and windows (slower in windows)
no_cores <- detectCores() - 1 # Calculate the number of cores
cl <- makeCluster(no_cores, type="SOCK") # Initiate cluster
f2 <- parLapply(cl, f.list, f)
stopCluster(cl)
I'm trying to implement a process over a huge list in Linux (using parallel) and I don't know how to see easily the status like pblapply does.
parallel-processing cluster-computing benchmarking lapply monitor
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
This question has an open bounty worth +50
reputation from César Arquero ending in 5 days.
Looking for an answer drawing from credible and/or official sources.
add a comment |
I would like to know if there is a way to monitorize a process using parLapply (parallel) like pblapply does. Here is just a simple code to try it:
library(parallel)
library(pbapply)
f <- function (x) {return <- (x^2)^2}
f.list <- list(50000000:200000000)
# pblapply
f1 <-pblapply(f.list,f)
# parLapply - Usable in linux and windows (slower in windows)
no_cores <- detectCores() - 1 # Calculate the number of cores
cl <- makeCluster(no_cores, type="SOCK") # Initiate cluster
f2 <- parLapply(cl, f.list, f)
stopCluster(cl)
I'm trying to implement a process over a huge list in Linux (using parallel) and I don't know how to see easily the status like pblapply does.
parallel-processing cluster-computing benchmarking lapply monitor
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
This question has an open bounty worth +50
reputation from César Arquero ending in 5 days.
Looking for an answer drawing from credible and/or official sources.
add a comment |
I would like to know if there is a way to monitorize a process using parLapply (parallel) like pblapply does. Here is just a simple code to try it:
library(parallel)
library(pbapply)
f <- function (x) {return <- (x^2)^2}
f.list <- list(50000000:200000000)
# pblapply
f1 <-pblapply(f.list,f)
# parLapply - Usable in linux and windows (slower in windows)
no_cores <- detectCores() - 1 # Calculate the number of cores
cl <- makeCluster(no_cores, type="SOCK") # Initiate cluster
f2 <- parLapply(cl, f.list, f)
stopCluster(cl)
I'm trying to implement a process over a huge list in Linux (using parallel) and I don't know how to see easily the status like pblapply does.
parallel-processing cluster-computing benchmarking lapply monitor
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
I would like to know if there is a way to monitorize a process using parLapply (parallel) like pblapply does. Here is just a simple code to try it:
library(parallel)
library(pbapply)
f <- function (x) {return <- (x^2)^2}
f.list <- list(50000000:200000000)
# pblapply
f1 <-pblapply(f.list,f)
# parLapply - Usable in linux and windows (slower in windows)
no_cores <- detectCores() - 1 # Calculate the number of cores
cl <- makeCluster(no_cores, type="SOCK") # Initiate cluster
f2 <- parLapply(cl, f.list, f)
stopCluster(cl)
I'm trying to implement a process over a huge list in Linux (using parallel) and I don't know how to see easily the status like pblapply does.
parallel-processing cluster-computing benchmarking lapply monitor
parallel-processing cluster-computing benchmarking lapply monitor
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
edited yesterday
César Arquero
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
asked Jan 18 at 13:47
César ArqueroCésar Arquero
327
327
This question has an open bounty worth +50
reputation from César Arquero ending in 5 days.
Looking for an answer drawing from credible and/or official sources.
This question has an open bounty worth +50
reputation from César Arquero ending in 5 days.
Looking for an answer drawing from credible and/or official sources.
add a comment |
add a comment |
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