Package org.apfloat.aparapi

package org.apfloat.aparapi

Transforms for using a GPU via the aparapi library.

This package contains Number-Theoretic Transform implementations that can use the GPU (Graphics Processing Unit) for executing the transforms. There is significant overhead in invoking the GPU, e.g. in transferring the data between the main memory and the GPU memory, so for small data sets there is usually no performance improvement, and in many cases performance can be even significantly slower. However for very large calculations, e.g. one billion digits, using the GPU can improve the performance noticeably, depending on the hardware used.

Related Packages

Package	Description
org.apfloat	The apfloat Application Programming Interface (API).
org.apfloat.calc	Arbitrary precision calculator interactive application.
org.apfloat.internal	Default implementations of the apfloat Service Provider Interface (SPI).
org.apfloat.jscience	JScience wrapper for apfloat.
org.apfloat.samples	Sample applications demonstrating apfloat use.
org.apfloat.spi	The apfloat Service Provider Interface (SPI).

Classes

Class	Description
ColumnSixStepFNTStrategy	Six-step NTT implementation that processes the data in the columns of the matrix.
ColumnTwoPassFNTStrategy	Two-pass NTT implementation that processes the data in the columns of the matrix.
IntAparapiBuilderFactory	Builder factory for aparapi transform implementations for the int element type.
IntAparapiFactor3NTTStepStrategy	Steps for the factor-3 NTT using the GPU, for the int element type.
IntAparapiFactor3NTTStrategy	Factor-3 NTT implementation for the int element type.
IntAparapiMatrixStrategy	Matrix transposition in the GPU for the int type.
IntAparapiNTTBuilder	NTT Builder for aparapi transform implementations for the int element type.
IntAparapiNTTStepStrategy	NTT steps for the int element type aparapi transforms.
IntAparapiSixStepFNTStrategy	Six-step NTT implementation for the int element type.
LongAparapiBuilderFactory	Builder factory for aparapi transform implementations for the long element type.
LongAparapiFactor3NTTStepStrategy	Steps for the factor-3 NTT using the GPU, for the long element type.
LongAparapiFactor3NTTStrategy	Factor-3 NTT implementation for the long element type.
LongAparapiMatrixStrategy	Matrix transposition in the GPU for the long type.
LongAparapiNTTBuilder	NTT Builder for aparapi transform implementations for the long element type.
LongAparapiNTTStepStrategy	NTT steps for the long element type aparapi transforms.
LongAparapiSixStepFNTStrategy	Six-step NTT implementation for the long element type.