example of executing a zoon workflow in parallel (using experimental branch)

parallel_zoon.R

# install the experimental parallel branch
# remotes::install_github("zoonproject/zoon@parallel")
library (zoon)

# example workflow for 4 independent models that may take a while to run
run_wf <- function () {
  workflow(occurrence = UKAnophelesPlumbeus,
           covariate = UKBioclim,
           process = Replicate(Background(n = 1000), 4),
           model = GBM(max.trees = 10000),
           output = SameTimePlaceMap)
}

# run it once to download the spatial data (needed for fair timings)
run_wf()

# sequential processing
system.time(run_wf())

# user  system elapsed 
# 82.241   0.950 129.140 

# parallel processing (future should be installed with zoon)
library (future)
plan(multiprocess)

system.time(run_wf())

# user  system elapsed 
# 92.340   1.922  80.541 

# turn off parallel
plan(sequential)

# you can use plan() to switch to differenct parallel backends e.g. to send jobs
# to run on remote compute clusters, using packages like future.batchtools.