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crew.cluster  

Crew Launcher Plugins for Traditional High-Performance Computing Clusters
View on CRAN: Click here


Download and install crew.cluster package within the R console
Install from CRAN:
install.packages("crew.cluster")

Install from Github:
library("remotes")
install_github("cran/crew.cluster")

Install by package version:
library("remotes")
install_version("crew.cluster", "0.3.3")



Attach the package and use:
library("crew.cluster")
Maintained by
William Michael Landau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-25
Latest Update: 2024-02-08
Description:
In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) , 'future' by Bengtsson (2021) , 'rrq' by FitzJohn and Ashton (2023) , 'clustermq' by Schubert (2019) ), and 'batchtools' by Lang, Bischl, and Surmann (2017). .
How to cite:
William Michael Landau (2023). crew.cluster: Crew Launcher Plugins for Traditional High-Performance Computing Clusters. R package version 0.3.3, https://cran.r-project.org/web/packages/crew.cluster. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.0.2 (2023-04-25 20:10), 0.1.0 (2023-05-19 22:00), 0.1.1 (2023-06-15 21:50), 0.1.2 (2023-09-20 14:30), 0.1.3 (2023-10-18 00:30), 0.1.4 (2023-12-10 18:20), 0.2.0 (2024-01-09 00:40), 0.3.0 (2024-02-08 05:20), 0.3.1 (2024-04-24 17:30), 0.3.2 (2024-07-10 18:10)
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