org.diirt.graphene.profile.utils

Class DatasetFactory

java.lang.Object

org.diirt.graphene.profile.utils.DatasetFactory

public final class DatasetFactory
extends Object

Factory object to create datasets.

Author:

asbarber

Method Summary

Modifier and Type	Method and Description
static List<Integer>	defaultDatasetSizes() Default set of dataset sizes to test profiling on, on a logarithmic scale.
static List<Integer>	logarathmicDatasetSizes(int min, int max, int base) Generates a set of dataset sizes to test profiling on, on a logarithmic scale.
static Cell1DDataset	makeCell1DGaussianRandomData(int nSamples) Generates Cell1D data that can be used in rendering.
static Cell2DDataset	makeCell2DGaussianRandomData(int xSamples, int ySamples) Generates Cell2D data that can be used in rendering.
static Point1DDataset	makePoint1DGaussianRandomData(int nSamples) Generates Point1D data that can be used in rendering.
static Point2DDataset	makePoint2DGaussianRandomData(int nSamples) Generates Point2D data that can be used in rendering.
static Point3DWithLabelDataset	makePoint3DWithLabelGaussianRandomData(int nSamples) Generates Point3D data that can be used in rendering.

Methods inherited from class java.lang.Object

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

Method Detail

defaultDatasetSizes

public static List<Integer> defaultDatasetSizes()

Default set of dataset sizes to test profiling on, on a logarithmic scale. The values are 10^1, 10^2, ... , 10^6.

Returns:

a list with values of 10^n for n = 1 to n = 6 (a logarithmic scale from 10 to 1,000,000)

logarathmicDatasetSizes

public static List<Integer> logarathmicDatasetSizes(int min,
                                                    int max,
                                                    int base)

Generates a set of dataset sizes to test profiling on, on a logarithmic scale. The values are base^min, base^(min+1), ... , base^max.

Parameters:

min - minimum power to raise the base to

max - maximum power to raise the base to

base - raise this to the power of n

Returns:

a list with values of base^n for n = min to n = max

makePoint1DGaussianRandomData

public static Point1DDataset makePoint1DGaussianRandomData(int nSamples)

Generates Point1D data that can be used in rendering. The data set has the following properties:

1. Size of data (number of points) is nSamples
3. Random data
4. Gaussian distribution from 0 to 1

Parameters:

nSamples - number of points in data

Returns:

a set of data to be drawn

makePoint2DGaussianRandomData

public static Point2DDataset makePoint2DGaussianRandomData(int nSamples)

Generates Point2D data that can be used in rendering. The data set has the following properties:

1. Size of data (number of points) is nSamples
3. Random y-values
4. y-values are sorted ascending and plotted against sorted index (sorted index is x-value)
5. Gaussian distribution from 0 to 1

Parameters:

nSamples - number of points in data

Returns:

a set of data to be drawn

makePoint3DWithLabelGaussianRandomData

public static Point3DWithLabelDataset makePoint3DWithLabelGaussianRandomData(int nSamples)

Generates Point3D data that can be used in rendering. The data set has the following properties:

1. Size of data (number of points) is nSamples
3. Random y-values
4. y-values are sorted ascending and plotted against sorted index (sorted index is x-value)
5. Gaussian distribution from 0 to 1

Parameters:

nSamples - number of points in data

Returns:

a set of data to be drawn

makeCell1DGaussianRandomData

public static Cell1DDataset makeCell1DGaussianRandomData(int nSamples)

Generates Cell1D data that can be used in rendering. The data set has the following properties:

1. Size of data is xSamples * ySamples
3. Random cell data
4. Gaussian distribution of values from 0 to 1

Parameters:

nSamples - number of points in data

Returns:

a set of data to be drawn

makeCell2DGaussianRandomData

public static Cell2DDataset makeCell2DGaussianRandomData(int xSamples,
                                                         int ySamples)

Generates Cell2D data that can be used in rendering. The data set has the following properties:

1. Size of data is xSamples * ySamples
3. Random cell data
4. Gaussian distribution of values from 0 to 1

Parameters:

xSamples - number of x-cells in data

ySamples - number of y-cells in data

Returns:

a set of data to be drawn