search for: setdefaultclust

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 i...

...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 Tab...

...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 s...

...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 useX...

...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 useX...

..."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...

..."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...