kgal-core/kgal.processor.parallelism/ParallelismConfig

ParallelismConfig

interface ParallelismConfig

Configuration of basic parameters for parallel processing. Please note that parallel computing is only justified for really complex operations. Computationally simple genetic operators such as selection or mutation may be more efficient to execute serially than in parallel.

If you really need parallelism for your computations, you can manually limit the execution of simple genetic operators by using NO_PARALLELISM to improve performance:

evolution {
    selTournament(size = 3, parallelismLimit = NO_PARALLELISM)
}
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Creates with ParallelismConfig.

See also

Inheritors

Types

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object Companion

Properties

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abstract val dispatcher: CoroutineDispatcher

dispatcher - dispatcher for parallel coroutines.

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val ParallelismConfig.enabled: Boolean

Property for displaying availability of parallel mode of operation.

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abstract val workersCount: Int

workersCount - the number of launched coroutines which can be executed in parallel processing.

Functions

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fun ParallelismConfig.clone(): ParallelismConfig

Deep clones the current parallelism configuration.