Class AutotunerBuilder

constructor

• new AutotunerBuilder(
      name: string,
      datasetType: string,
      algorithmType: string,
      measurementType: string,
  ): AutotunerBuilder

  Parameters

  • name: string
  • datasetType: string
  • algorithmType: string
  • measurementType: string

  Returns AutotunerBuilder

algorithms

algorithmType

configuration

datasetType

default

distanceMethod

measurementType

measurer

name

package

addAdaptiveAlg

• addAdaptiveAlg(
      id: string,
      targetMethod: Method,
      templateName: string,
      provider: string,
  ): AutotunerBuilder

  Parameters

  • id: string
  • targetMethod: Method
  • templateName: string
  • provider: string

  Returns AutotunerBuilder

addAlgorithm

• addAlgorithm(
      algorithm: string | Method | SimpleAlgorithm | AlgorithmWithKnob,
      id?: string,
  ): AutotunerBuilder

  Adds a simple algorithm

  Parameters

  • algorithm: string | Method | SimpleAlgorithm | AlgorithmWithKnob
  • Optionalid: string

  Returns AutotunerBuilder

addAlgorithmWithKnob

• addAlgorithmWithKnob(
      algorithm: string,
      id: string,
      configuration: Configuration,
  ): AutotunerBuilder

  Adds an algorithm containing a knob

  Parameters

  • algorithm: string
  • id: string
  • configuration: Configuration

  Returns AutotunerBuilder

addGenerativeAlg

• addGenerativeAlg(
      id: string,
      $interface: Method,
      templateName: string,
      provider: string,
      providerType: string,
      extraArg: string,
  ): AutotunerBuilder

  Parameters

  • id: string
  • $interface: Method
  • templateName: string
  • provider: string
  • providerType: string
  • extraArg: string

  Returns AutotunerBuilder

generate

• generate(packageName?: string): AutotunerClass

  Parameters

  • packageName: string = "kadabra.autotuner"

  Returns AutotunerClass

normalSampling

• normalSampling(): AutotunerBuilder

  Set the algorithms sampling in the order they are defined

  Returns AutotunerBuilder

pushAlgorithm

• pushAlgorithm(algorithm: Algorithm): AutotunerBuilder

  Parameters

  • algorithm: Algorithm

  Returns AutotunerBuilder

randomSampling

• randomSampling(): AutotunerBuilder

  Set the algorithms sampling in a random order

  Returns AutotunerBuilder

setMeasurer

• setMeasurer(measurer: Measurer): AutotunerBuilder

  Define the code that provides a new algorithm measurer (e.g. weaver.kadabra.control...measurers.AvgLongMeasurer )

  Parameters

  • measurer: Measurer

  Returns AutotunerBuilder