rslurm 0.5.0 2019-11-15

New features and fixes

  • Improved status with get_job_status, deprecating print_job_status (#37).

  • Use mclapply within get_slurm_out to gather results (#30).

  • Allow user to provide custom .R and .sh templates (#47).

  • Allow user to specify path to Rscript (#45) and number of CPUS per task (#36).

  • Allow user to disable core prescheduling if tasks have high variance in completion time (816b40e).

rslurm 0.4.0 2017-10-19

New features and fixes

  • Pass (serialized) functions to Slurm nodes without stringifying.

  • Save add_objects objects from correct environment.

  • Package tests evaluate on a cluster when available.

  • Include reverse dependency check in release process.

Reversions

  • README now separate from package documentation.

  • Vignette can be built on CRAN tests again (no slurm submissions).

  • Returned to parallel::mcmapply, without SIMPLIFY, to prevent mc.cores error when checking on Windows.

rslurm 0.3.3 2017-04-09

New features and fixes

  • Create README from R/slurm.R.

rslurm 0.3.2 2017-04-07

New features and fixes

  • wait argument adds option to slurm_apply and slurm_call to block the calling script until the submitted job completes. This option can be used to allow immediate processing of a submitted job’s output (#2).

  • Use “.RDS” file extension, rather than “.RData”, for serialized objects (#4).

  • Minor bug fixes (#4).

rslurm 0.3.1 2016-06-18

New features and fixes

  • Minor bug fix: specify full path of ‘Rscript’ when running batch scripts.

rslurm 0.3.0 2016-05-28

First version on CRAN

New features and fixes

  • Added a submit argument to slurm_apply and slurm_call. If submit = FALSE, the submission scripts are created but not run. This is useful if the files need to be transferred from a local machine to the cluster and run at a later time.

  • Added new optional arguments to slurm_apply and slurm_call, allowing users to give informative names to SLURM jobs (jobname) and set any options understood by sbatch (slurm_options).

  • The data_file argument to slurm_apply and slurm_call is replaced with add_objects, which accepts a vector of R object names from the active workspace and automatically saves them in a .RData file to be loaded on each node.

  • slurm_apply and slurm_call now generate R and Bash scripts through whisker templates. Advanced users may want to edit those templates in the templates folder of the installed R package (e.g. to set default SBATCH options in submit.sh).

  • Files generated by the package (scripts, data files and output) are now saved in a subfolder named _rslurm_[jobname] in the current working directory.

  • Minor updates, including reformatting the output of print_job_status and removing this package’s dependency on stringr.

rslurm 0.2.0 Unreleased

2015-11-23

New features and fixes

  • Changed the slurm_apply function to use parallel::mcMap instead of mcmapply, which fixes a bug where list outputs (i.e. each function call returns a list) would be collapsed in a single list (rather than returned as a list of lists).

  • Changed the interface so that the output type (table or raw) is now an argument of get_slurm_out rather than of slurm_apply, and defaults to raw.

  • Added cpus_per_node argument to slurm_apply, indicating the number of parallel processes to be run on each node.

rslurm 0.1.3 Unreleased

2015-07-13

New features and fixes

  • Added the slurm_call function, which submits a single function evaluation on the cluster, with syntax similar to the base function do.call.

  • get_slurm_out can now process the output even if some files are missing, in which case it issues a warning.

rslurm 0.1.2 Unreleased

2015-06-29

New features and fixes

  • Added the optional argument pkgs to slurm_apply, indicating which packages should be loaded on each node (by default, all packages currently attached to the user’s R session).

rslurm 0.1.1 Unreleased

2015-06-24

New features and fixes

  • Added the optional argument output to slurm_apply, which can take the value table (each function evaluation returns a row, output is a data frame) or raw (each function evaluation returns an arbitrary R object, output is a list).

  • Fixed a bug in the chunk size calculation for slurm_apply.

rslurm 0.1.0 Unreleased

2015-06-16

Initial release

  • First version of the package released on GitHub.