Package org.apfloat.aparapi
Class ColumnSixStepFNTStrategy
java.lang.Object
org.apfloat.internal.AbstractStepFNTStrategy
org.apfloat.internal.SixStepFNTStrategy
org.apfloat.aparapi.ColumnSixStepFNTStrategy
- All Implemented Interfaces:
Parallelizable,NTTStrategy
- Direct Known Subclasses:
IntAparapiSixStepFNTStrategy,LongAparapiSixStepFNTStrategy
Six-step NTT implementation that processes the data in the columns of the matrix.
This transform only works together with an NTTStepStrategy implementation
that processes the data in columns instead of rows and a MatrixStrategy
implementation that can transpose the data.
The data size should be sufficiently large to meet the parallelization needs of the GPU. The GPU global size i.e. the number of columns in the data matrix should be at least 1024.
- Since:
- 1.8.3
- Version:
- 1.8.3
- Author:
- Mikko Tommila
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Field Summary
Fields inherited from class org.apfloat.internal.SixStepFNTStrategy
matrixStrategyFields inherited from class org.apfloat.internal.AbstractStepFNTStrategy
stepStrategy -
Constructor Summary
ConstructorsConstructorDescriptionColumnSixStepFNTStrategy(NTTStepStrategy stepStrategy, MatrixStrategy matrixStrategy) Basic constructor. -
Method Summary
Modifier and TypeMethodDescriptionprotected voidmultiplyElements(ArrayAccess arrayAccess, int rows, int columns, long length, long totalTransformLength, boolean isInverse, int modulus) Multiply each matrix element by a power of the n:th root of unity.protected voidtransposeInitial(ArrayAccess arrayAccess, int n1, int n2, boolean isInverse) The initial transpose of the forward transform, or the final transpose of the inverse transform, to transpose the columns of the matrix to be rows.protected voidtransposeMiddle(ArrayAccess arrayAccess, int n1, int n2, boolean isInverse) The second transpose of either the forward or inverse transform.Methods inherited from class org.apfloat.internal.SixStepFNTStrategy
inverseTransform, postTransform, preTransform, transform, transformFirst, transformSecond, transposeFinalMethods inherited from class org.apfloat.internal.AbstractStepFNTStrategy
getTransformLength, inverseTransform, transform
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Constructor Details
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ColumnSixStepFNTStrategy
Basic constructor.- Parameters:
stepStrategy- A step strategy that can process data in columns.matrixStrategy- A matrix strategy that can process the data.
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Method Details
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transposeInitial
Description copied from class:SixStepFNTStrategyThe initial transpose of the forward transform, or the final transpose of the inverse transform, to transpose the columns of the matrix to be rows. This step is needed in the six-step algorithm but is omitted in the four-step algorithm.- Overrides:
transposeInitialin classSixStepFNTStrategy- Parameters:
arrayAccess- Accessor to the matrix data. This data will be transposed.n1- Number of rows in the matrix.n2- Number of columns in the matrix.isInverse-trueif an inverse transform is performed,falseif a forward transform is performed.
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transposeMiddle
Description copied from class:SixStepFNTStrategyThe second transpose of either the forward or inverse transform. Normally this step is always required as the four-step algorithm only transforms columns of the matrix and the six-step algorithm transforms only rows.- Overrides:
transposeMiddlein classSixStepFNTStrategy- Parameters:
arrayAccess- Accessor to the matrix data. This data will be transposed.n1- Number of rows in the matrix.n2- Number of columns in the matrix.isInverse-trueif an inverse transform is performed,falseif a forward transform is performed.
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multiplyElements
protected void multiplyElements(ArrayAccess arrayAccess, int rows, int columns, long length, long totalTransformLength, boolean isInverse, int modulus) Description copied from class:SixStepFNTStrategyMultiply each matrix element by a power of the n:th root of unity.- Overrides:
multiplyElementsin classSixStepFNTStrategy- Parameters:
arrayAccess- The memory array to multiply.rows- The number of rows in thearrayAccessto multiply.columns- The number of columns in the matrix (= n2).length- The length of data in the matrix being transformed.totalTransformLength- The total transform length, for the scaling factor. Used only for the inverse case.isInverse- If the multiplication is done for the inverse transform or not.modulus- Index of the modulus.
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