unal.od.jdiffraction.gpu

Class DoublePropagatorGPU

java.lang.Object

unal.od.jdiffraction.gpu.DoublePropagatorGPU

Direct Known Subclasses:

DoubleAngularSpectrumGPU, DoubleFresnelBluesteinGPU, DoubleFresnelFourierGPU

public abstract class DoublePropagatorGPU
extends java.lang.Object

Abstract class for GPU diffraction calculation with double precision.

Since:

JDiffraction 1.2

Author:

Pablo Piedrahita-Quintero (jppiedrahitaq@unal.edu.co), Carlos Trujillo (catrujila@unal.edu.co), Jorge Garcia-Sucerquia (jigarcia@unal.edu.co)

Constructor Summary

Constructors

Constructor and Description
DoublePropagatorGPU()

Method Summary

Modifier and Type	Method and Description
abstract void	diffract(jcuda.driver.CUdeviceptr devField) Performs numerical diffraction of the complex data in devField, leaving the result in devField.
abstract void	diffract(double[] field) Performs numerical diffraction of the complex data in field, leaving the result in field.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DoublePropagatorGPU

public DoublePropagatorGPU()

Method Detail

diffract

public abstract void diffract(double[] field)

Performs numerical diffraction of the complex data in field, leaving the result in field. The physical layout of the complex data must be the same as in JTransforms:

field[i * 2 * N + 2 * j] = Re[i][j], field[i * 2 * N + 2 * j + 1] = Im[i][j]; 0 <= i < M, 0 <= j < N

Parameters:

field - The complex field to diffract.

diffract

public abstract void diffract(jcuda.driver.CUdeviceptr devField)

Performs numerical diffraction of the complex data in devField, leaving the result in devField. devField must be a pointer to the data on the GPU memory. The physical layout of the complex data must be the same as in JTransforms:

field[i * 2 * N + 2 * j] = Re[i][j], field[i * 2 * N + 2 * j + 1] = Im[i][j]; 0 <= i < M, 0 <= j < N

Parameters:

devField - The complex field to diffract.