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).
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Uses of Parallelizable in org.apfloat.aparapi
Classes in org.apfloat.aparapi that implement ParallelizableModifier and TypeClassDescriptionclass
Six-step NTT implementation that processes the data in the columns of the matrix.class
Two-pass NTT implementation that processes the data in the columns of the matrix.class
Steps for the factor-3 NTT using the GPU, for theint
element type.class
Factor-3 NTT implementation for theint
element type.class
NTT steps for theint
element type aparapi transforms.class
Six-step NTT implementation for theint
element type.class
Steps for the factor-3 NTT using the GPU, for thelong
element type.class
Factor-3 NTT implementation for thelong
element type.class
NTT steps for thelong
element type aparapi transforms.class
Six-step NTT implementation for thelong
element type. -
Uses of Parallelizable in org.apfloat.internal
Classes in org.apfloat.internal that implement ParallelizableModifier and TypeClassDescriptionclass
Abstract superclass for step-based FNT strategies.class
Steps for the factor-3 NTT.class
Steps of a three-NTT convolution for thedouble
type.class
Common methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.class
A transform that implements a 3-point transform on top of another Number Theoretic Transform that does transforms of length 2n.class
Steps for the factor-3 NTT.class
Steps of a three-NTT convolution for thefloat
type.class
Common methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.class
Steps for the factor-3 NTT.class
Steps of a three-NTT convolution for theint
type.class
Common methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.class
Steps for the factor-3 NTT.class
Steps of a three-NTT convolution for thelong
type.class
Common methods to calculate Fast Number Theoretic Transforms in parallel using multiple threads.class
Fast Number Theoretic Transform that uses a "six-step" algorithm to calculate a long transform more efficiently on cache-based memory architectures.class
Class for performing the final step of a three-modulus Number Theoretic Transform based convolution.class
Fast Number Theoretic Transform that uses a "two-pass" algorithm to calculate a very long transform on data that resides on a mass storage device.