Displaying 7 results from an estimated 7 matches for "setdefaultcluster".
2012 Aug 21
1
parLapply fails to detect default cluster?
invoking parLapply without a cluster fails to find a previously
registered cluster
> library(parallel)
> setDefaultCluster(makePSOCKcluster(2))
> parLapply(X=1:2, fun=function(...) {})
Error in cut.default(i, breaks) : invalid number of intervals
This is because in parLapply length(cl) is determined before
defaultCluster(cl) is called. By inspection, this appears to be true of
other high-level functions, but iro...
2017 Sep 14
1
Print All Warnings that Occurr in All Parallel Nodes
...quot;",
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's Tibbles Compilation into a single Tibble:
DISPOIN_CSV <- do.call(rbind, DISPOIN_CSV_List)
# E) Write Compiled Table...
2012 Oct 26
0
parallel::pvec FUN types differ when v is a list; code simplifications?
...t;>>> this
>>>> one seems
>>>> to work. Florian's objectives might be a good test case for adequacy.
>>>>
>>>
>>> The registerDoDah does seem to be a useful abstraction.
>
> Is this not more-or-less the intention of parallel::setDefaultCluster?
>
> --Malcolm
>
>
>
>>>
>>> I think there's a lot of work to do for some sort of coordinated
>>> parallelization that putting parLapply into BiocGenerics might
>>> encourage;
>>> not good things will happen when everyone in a call sta...
2012 Mar 30
0
R 2.15.0 is released
...requires more unique points than the
degree. (Requested by John Fox.)
PACKAGE parallel:
o There is a new function mcmapply(), a parallel version of
mapply(), and a wrapper mcMap(), a parallel version of Map().
o A default cluster can be registered by the new function
setDefaultCluster(): this will be used by default in functions
such as parLapply().
o clusterMap() has a new argument .scheduling to allow the use of
load-balancing.
o There are new load-balancing functions parLapplyLB() and
parSapplyLB().
o makePSOCKCluster() has a new option useXDR...
2012 Mar 30
0
R 2.15.0 is released
...requires more unique points than the
degree. (Requested by John Fox.)
PACKAGE parallel:
o There is a new function mcmapply(), a parallel version of
mapply(), and a wrapper mcMap(), a parallel version of Map().
o A default cluster can be registered by the new function
setDefaultCluster(): this will be used by default in functions
such as parLapply().
o clusterMap() has a new argument .scheduling to allow the use of
load-balancing.
o There are new load-balancing functions parLapplyLB() and
parSapplyLB().
o makePSOCKCluster() has a new option useXDR...
2018 Apr 23
0
R 3.5.0 is released
..."aov", both coef() and vcov() methods remain back-compatibly
consistent, using the _other_ default, complete = FALSE.
* attach(*, pos = 1) is now an error instead of a warning.
* New function getDefaultCluster() in package parallel to get the
default cluster set via setDefaultCluster().
* str(x) for atomic objects x now treats both cases of is.vector(x)
similarly, and hence much less often prints "atomic". This is a
slight non-back-compatible change producing typically both more
informative and shorter output.
* write.dcf() gets optional a...
2018 Apr 23
0
R 3.5.0 is released
..."aov", both coef() and vcov() methods remain back-compatibly
consistent, using the _other_ default, complete = FALSE.
* attach(*, pos = 1) is now an error instead of a warning.
* New function getDefaultCluster() in package parallel to get the
default cluster set via setDefaultCluster().
* str(x) for atomic objects x now treats both cases of is.vector(x)
similarly, and hence much less often prints "atomic". This is a
slight non-back-compatible change producing typically both more
informative and shorter output.
* write.dcf() gets optional a...