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## TL;DR
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Here is an example on how to evaluate R expressions on a Slurm
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high-performance compute (HPC) cluster from within R.
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Here is an example of how to evaluate R expressions on a Slurm
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high-performance computing (HPC) cluster from within R.
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``` r
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library(future)
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via a simple switch in settings - without having to change any code at
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all.
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For instance, the below two future R expressions will be processed by
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parallel R workers that launched on different compute nodes by the
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For instance, the following two future R expressions will be processed
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by parallel R workers launched on different compute nodes by the
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specified job scheduler:
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``` r
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demo("mandelbrot", package = "future", ask = FALSE)
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```
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## Available batchtools backend
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## Available batchtools backends
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The **future.batchtools** package implements a generic future wrapper
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for all batchtools backends. Below are the most common types of

llms.txt

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## TL;DR
44

5-
Here is an example on how to evaluate R expressions on a Slurm
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high-performance compute (HPC) cluster from within R.
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Here is an example of how to evaluate R expressions on a Slurm
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high-performance computing (HPC) cluster from within R.
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``` r
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library(future)
@@ -54,8 +54,8 @@ leverage the compute power of high-performance computing (HPC) clusters
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via a simple switch in settings - without having to change any code at
5555
all.
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For instance, the below two future R expressions will be processed by
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parallel R workers that launched on different compute nodes by the
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For instance, the following two future R expressions will be processed
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by parallel R workers launched on different compute nodes by the
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specified job scheduler:
6060

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``` r
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demo("mandelbrot", package = "future", ask = FALSE)
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```
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## Available batchtools backend
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## Available batchtools backends
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The **future.batchtools** package implements a generic future wrapper
9898
for all batchtools backends. Below are the most common types of

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