ecr_parallelization: Parallelization in ecr
In jakobbossek/ecr: Evolutionary Computing in R
Description
In ecr it is possible to parallelize different levels of computation
to make use, e.g., of multiple CP cores or nodes in a HPC cluster.
For maximal flexibility this is realized by means of the parallelMap package
(see the official
GitHub page for instructions on how to set up parallelization).
The different levels of parallelization can be specified in the
parallelStart* function. At them moment the following levels are
available:
ecr.evaluateFitnessDo the fitness evaluation in parallel.
ecr.generateOffspringThe generation of offspring individuals is
performed in parallel.
Keep in mind that parallelization comes along with some overhead. Thus activating
parallelization, e.g., for evaluation a fitness function which is evaluated
lightning-fast, may result in higher computation time. However, if the function
evaluations are computationally more expensive, parallelization leads to
impressive running time benefits.
jakobbossek/ecr documentation built on May 18, 2019, 9:09 a.m.
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Description
In ecr it is possible to parallelize different levels of computation
to make use, e.g., of multiple CP cores or nodes in a HPC cluster.
For maximal flexibility this is realized by means of the parallelMap package
(see the official
GitHub page for instructions on how to set up parallelization).
The different levels of parallelization can be specified in the
parallelStart* function. At them moment the following levels are
available:
ecr.evaluateFitnessDo the fitness evaluation in parallel.
ecr.generateOffspringThe generation of offspring individuals is performed in parallel.
Keep in mind that parallelization comes along with some overhead. Thus activating parallelization, e.g., for evaluation a fitness function which is evaluated lightning-fast, may result in higher computation time. However, if the function evaluations are computationally more expensive, parallelization leads to impressive running time benefits.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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