Displaying 4 results from an estimated 4 matches for "no_cor".
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no_csr
2018 Feb 10
2
makeCluster hangs
...k.
Specifically, makeCluster() hangs when I run it. I first noticed the
problem when trying to run Rstan with multiple cores and the traced it
back to the core package parallel. The following results in R hanging
after the call to makeCluster.
library(parallel)
# Calculate the number of cores
no_cores <- detectCores() - 1
# Initiate cluster
cl <- makeCluster(no_cores)
I'm running MacOS High Sierra 10.13.3 (17D47) on a MacbookPro 2017
laptop with 4 cores.
platform?????? x86_64-apple-darwin15.6.0
arch?????????? x86_64
os???????????? darwin15.6.0
system???????? x86_64, darwin15.6.0...
2018 Feb 11
1
makeCluster hangs
...st noticed the problem when trying
>> to run Rstan with multiple cores and the traced it back to the core package
>> parallel. The following results in R hanging after the call to makeCluster.
>>
>> library(parallel)
>>
>> # Calculate the number of cores
>> no_cores <- detectCores() - 1
>>
>> # Initiate cluster
>> cl <- makeCluster(no_cores)
>>
>> I'm running MacOS High Sierra 10.13.3 (17D47) on a MacbookPro 2017 laptop
>> with 4 cores.
>>
>> platform x86_64-apple-darwin15.6.0
>> arch...
2017 Sep 14
1
Print All Warnings that Occurr in All Parallel Nodes
...na = c("", " "),
quoted_na = TRUE,
quote = "\"",
comment = "",
trim_ws = TRUE,
skip = 0,
n_max = Inf,
guess_max = min(1000, n_max),
progress = FALSE))
}
# C.2) parallel Package: Environment Settings
no_cores <- detectCores()
c1 <- makeCluster(no_cores)
invisible(clusterEvalQ(c1, library(readr)))
setDefaultCluster(c1)
# C.3) parRapply Function Application:
DISPOIN_CSV_List <- parRapply(c1, DISPOIN_DIR_REL, parRaplly_Function)
suppressWarnings(stopCluster(c1))
# D) List'...
2018 Feb 10
0
makeCluster hangs
...) hangs when I run it. I first noticed the problem when trying
> to run Rstan with multiple cores and the traced it back to the core package
> parallel. The following results in R hanging after the call to makeCluster.
>
> library(parallel)
>
> # Calculate the number of cores
> no_cores <- detectCores() - 1
>
> # Initiate cluster
> cl <- makeCluster(no_cores)
>
> I'm running MacOS High Sierra 10.13.3 (17D47) on a MacbookPro 2017 laptop
> with 4 cores.
>
> platform x86_64-apple-darwin15.6.0
> arch x86_64
> os dar...