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https://batchtools.mlr-org.com/

Tools for Computation on Batch Systems

As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (<https://www.ibm.com/products/hpc-workload-management>), OpenLava (<https://www.openlava.org/>), Univa Grid Engine/Oracle Grid Engine (<https://www.univa.com/>), Slurm (<https://slurm.schedmd.com/>), TORQUE/PBS (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or Docker Swarm (<https://docs.docker.com/engine/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.



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Tools for Computation on Batch Systems

https://batchtools.mlr-org.com/

As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (<https://www.ibm.com/products/hpc-workload-management>), OpenLava (<https://www.openlava.org/>), Univa Grid Engine/Oracle Grid Engine (<https://www.univa.com/>), Slurm (<https://slurm.schedmd.com/>), TORQUE/PBS (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or Docker Swarm (<https://docs.docker.com/engine/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.



DuckDuckGo

https://batchtools.mlr-org.com/

Tools for Computation on Batch Systems

As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (<https://www.ibm.com/products/hpc-workload-management>), OpenLava (<https://www.openlava.org/>), Univa Grid Engine/Oracle Grid Engine (<https://www.univa.com/>), Slurm (<https://slurm.schedmd.com/>), TORQUE/PBS (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or Docker Swarm (<https://docs.docker.com/engine/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.

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      As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (<https://www.ibm.com/products/hpc-workload-management>), OpenLava (<https://www.openlava.org/>), Univa Grid Engine/Oracle Grid Engine (<https://www.univa.com/>), Slurm (<https://slurm.schedmd.com/>), TORQUE/PBS (<https://adaptivecomputing.com/cherry-services/torque-resource-manager/>), or Docker Swarm (<https://docs.docker.com/engine/swarm/>). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproducible way.
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