Support for Parallel Computation, Logging, and Function Automation.
ParallelLogger
ParallelLogger is part of HADES.
Introduction
Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Features
- Functions for parallel computation.
- Functions for logging, including automated logging for errors and warnings.
- Functions used for automating analyses.
Examples
# Run a function in parallel:
fun <- function(x) {
return (x^2)
}
cluster <- makeCluster(numberOfThreads = 3)
result <- clusterApply(cluster, 1:10, fun)
stopCluster(cluster)
# Create a file logger:
addDefaultFileLogger("log.txt")
logTrace("Hello world")
Technology
ParallelLogger is an R package.
System Requirements
Requires R (version 4.0.0 or higher)
Getting Started
In R, to install the latest stable version, install from CRAN:
install.packages("ParallelLogger")
To install the latest development version, install from the develop branch in GitHub:
install.packages("remotes")
library(remotes)
install_github("ohdsi/ParallelLogger", ref = "develop")
User Documentation
Documentation can be found on the package website.
PDF versions of the documentation is also available:
- Vignette: Logging using ParallelLogger
- Vignette: Parallel execution using ParallelLogger
- Package manual: ParallelLogger.pdf
Contributing
Read here how you can contribute to this package.
Support
- Developer questions/comments/feedback: OHDSI Forum
- We use the GitHub issue tracker for all bugs/issues/enhancements
Contributing
Read here how you can contribute to this package.
License
ParallelLogger is licensed under Apache License 2.0
Development
ParallelLogger is being developed in R Studio.
Development status
Ready for use
Acknowledgements
- This project is supported in part through the National Science Foundation grant IIS 1251151.