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Enhancing the parallel Package
Utility functions that enhance the parallel package and support the built-in parallel backends of the future package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, cgroups and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
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Enhancing the parallel Package
Utility functions that enhance the parallel package and support the built-in parallel backends of the future package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, cgroups and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
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Enhancing the parallel Package
Utility functions that enhance the parallel package and support the built-in parallel backends of the future package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, cgroups and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
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7- titleEnhancing the parallel Package • parallelly
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3- og:titleEnhancing the parallel Package
- og:descriptionUtility functions that enhance the parallel package and support the built-in parallel backends of the future package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, cgroups and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
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