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Easy parallelisation of R computations.

Home Page: https://caravagnalab.github.io/easypar/

License: GNU General Public License v3.0

R 100.00%

parallel-computing multi-core lsf-jobs slurm-cluster parallel r

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easypar's Issues

Missing trailing

Add trailing argument to avoid LSF crush

Update documentation

As we are adding a couple of features we should keep up with documenting them and create a new vignette

Adding PBS support

Ideally should be similar to the SLURM implementation

Example does not run

custom_SBATCH = default_SBATCH_config(W = '12:00')
W is not a param?

Multirun on LSF

As it is already implemented in SLURM, we should allow LSF generate autosubmission script to perform more run per arrayjob

no progress bar shown

When running code in serial mode (parallel = FALSE), no progress bar is shown.

rm(list = ls())

library(easypar)

closeAllConnections()

# A very simple function
dummy_fun = function(x) {x}

# Parameters
dummy_params = lapply(1:5, list)

# Run serially with progress_bar
x = run(dummy_fun, dummy_params, parallel = FALSE, progress_bar = TRUE)

R version:

> R.version

output:

               _                           
platform       x86_64-apple-darwin15.6.0   
arch           x86_64                      
os             darwin15.6.0                
system         x86_64, darwin15.6.0        
status                                     
major          3                           
minor          6.0                         
year           2019                        
month          04                          
day            26                          
svn rev        76424                       
language       R                           
version.string R version 3.6.0 (2019-04-26)
nickname       Planting of a Tree

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