Uses of Interface
org.apfloat.internal.Parallelizable
Packages that use Parallelizable
Package
Description
Transforms for using a GPU via the aparapi library.
Default implementations of the apfloat Service Provider Interface (SPI).
-
Uses of Parallelizable in org.apfloat.aparapi
Classes in org.apfloat.aparapi that implement ParallelizableModifier and TypeClassDescriptionclassSix-step NTT implementation that processes the data in the columns of the matrix.classTwo-pass NTT implementation that processes the data in the columns of the matrix.classSteps for the factor-3 NTT using the GPU, for theintelement type.classFactor-3 NTT implementation for theintelement type.classNTT steps for theintelement type aparapi transforms.classSix-step NTT implementation for theintelement type.classSteps for the factor-3 NTT using the GPU, for thelongelement type.classFactor-3 NTT implementation for thelongelement type.classNTT steps for thelongelement type aparapi transforms.classSix-step NTT implementation for thelongelement type. -
Uses of Parallelizable in org.apfloat.internal
Classes in org.apfloat.internal that implement ParallelizableModifier and TypeClassDescriptionclassAbstract superclass for step-based FNT strategies.classSteps for the factor-3 NTT.classSteps of a three-NTT convolution for thedoubletype.classCommon methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.classA transform that implements a 3-point transform on top of another Number Theoretic Transform that does transforms of length 2n.classSteps for the factor-3 NTT.classSteps of a three-NTT convolution for thefloattype.classCommon methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.classSteps for the factor-3 NTT.classSteps of a three-NTT convolution for theinttype.classCommon methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.classSteps for the factor-3 NTT.classSteps of a three-NTT convolution for thelongtype.classCommon methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.classFast Number Theoretic Transform that uses a "six-step" algorithm to calculate a long transform more efficiently on cache-based memory architectures.classClass for performing the final step of a three-modulus Number Theoretic Transform based convolution.classFast Number Theoretic Transform that uses a "two-pass" algorithm to calculate a very long transform on data that resides on a mass storage device.