batchtools: Tools for R to work on batch systems
By Michel Lang, Bernd Bischl, D. Surmann. 2017
82 citations recorded by the source corpus.
• Local (blocking) execution in the current R session or in an externally spawned R process (intended for debugging and prototyping) • Local (non-blocking) parallel execution using parallel’s multicore backend (R Core Team 2016) or snow’s socket mode (Tierney et al. 2016). • Execution on loosely connected machines using SSH (including basic resource usage control). • Docker Swarm • IBM Spectrum LSF • OpenLava • Univa Grid Engine (formerly Oracle Grind Engine and Sun Grid Engine) • Slurm Workload Manager • TORQUE/PBS Resource Manager
Subfields: Artificial Intelligence, Information Systems, Information Systems and Management
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Anne-Laure Boulesteix
- Philipp Probst
- Bernd Bischl
- Giuseppe Casalicchio
- Christoph Molnar
- Michel Lang
- Joaquin Vanschoren
- Marco F. Huber
In Information Systems
- Anne-Laure Boulesteix
- Philipp Probst
- Giuseppe Casalicchio
- Bernd Bischl
- Christoph Molnar
- Michel Lang
- Joaquin Vanschoren
- B. Hofner
In Information Systems and Management
- Anne-Laure Boulesteix
- Philipp Probst
- Giuseppe Casalicchio
- Bernd Bischl
- Christoph Molnar
- Davide Chicco
Citations in the corpus
- Visualizing the Feature Importance for Black Box Models (2018, methodology): “ions and Application For full reproducibility, all our proposed methods are available in the R package featureImportance5. The repository also contains the R code, which is partly based on batchtools [13], for the application and simulation in this section. 6.1 Simulations PI and ICI Plots. Consider”
- OpenML: An R package to connect to the machine learning platform OpenML (2017, methodology): “The package also supports parallelization on different levels based on different parallelization backends (local multicore, socket, MPI) with the package parallelMap (Bis-chl and Lang, 2015) or on managed high-performance systems via the package batchtools (Lang et al, 2017).”
- Tunability: Importance of Hyperparameters of Machine Learning Algorithms (2018, methodology): “, 2016) and batchtools (Lang et al., 2017) for parallelization.”