spmd/split/SplitMap1DVertical.java

package appl.parallel.spmd.split;

import java.awt.Rectangle;
import java.awt.geom.Rectangle2D;

import appl.parallel.spmd.split.AbstractSplitMap.NeighborhoodBoxingMode;
import appl.util.RasterMetaData;
import schmitzm.data.WritableGrid;

/**
 * Responsible for splitting a 2D Area (e.g a {@link WritableGrid}) in a 
 * 1D fashion, which means in this case vertical (by cols). This is only a
 * a virtual split (a map of a split). 
 * 
 * A neighborhood range can be specified to create partitions that
 * overlap each other. This overlapping can be done in two different
 * ways: <br><br>
 * 
 * <b>Inboxing</b>(default):<br><br>
 * Inboxing means, that the neighborhood area is not part of the calculation
 * area. 
 * <br> <br>
 * <b>Outboxing:</b><br>
 * Outboxing means that the neighborhood area is part of the calculation area.
 *  <br> <br>
 * 
 *
 * Note that this class is flexible. It may also be applied 
 * to one dimensional data structures like for example arrays. 
 * If u want to do this, simply choose one of the dimensions as 1. <br>
 * 
 * @author Dominik Appl
 */

public class SplitMap1DVertical extends AbstractSplitMap implements SplitMap {

        
//      public SplitMap1DVertical(SplittableResource splittable, int neighborhoodRange, int noOfPartitions,
//                      NeighborhoodBoxingMode boxingMode) {
//              
//              super(splittable,neighborhoodRange, noOfPartitions, boxingMode);
//      }
        

        public SplitMap1DVertical(int width, int height, int neighborhoodRange, int noOfPartitions,
                        NeighborhoodBoxingMode boxingMode) {
                
                super(width,height,neighborhoodRange, noOfPartitions, boxingMode);
        }
        

        /**
         * needed for serialization
         */
        public SplitMap1DVertical(){
                
        }
        
        /* (non-Javadoc)
         * @see appl.parallel.spmd.split.DataSplitter#getDescription()
         */
        public String getDescription() {
                return "1D-GridSplitter";
        }

        /* (non-Javadoc)
         * @see appl.parallel.spmd.split.DataSplitter#split(appl.parallel.spmd.split.SplittableRessource)
         */
        public void makeMap() {
                        //the local calculation area is partitioned
                        int nextUpperLeftCorner = (int) globalBounds.getX(); //next x-value (will be 0)
                        for (int i = 0; i < noOfPartitions; i++) {
                                
                                //calculate length based on weights
                                int pWidth = (int) (globalBounds.getWidth() * weights[i]);
                                
                                //for the last position make sure, that ALL data is used 
                                //and no line is lost due to rounding errors in weight calculation
                                if(i==noOfPartitions-1)
                                        pWidth = (int) globalBounds.getWidth() - nextUpperLeftCorner;
                                
                                //create inboxing(!) partition 
                                partitionCalculationBounds[i] = new Rectangle(
                                                nextUpperLeftCorner, (int) globalBounds.getY(), pWidth,
                                                (int) globalBounds.getHeight());
                                
                                //if there is only one partition there are no explicit neighborhood bounds
                                if(noOfPartitions==1)
                                        partitionNeighborhoodBounds[i]=partitionCalculationBounds[i];
                                //else simply calculate the neighborhood bounds out of the previosly 
                                //created calculation Area
                                else 
                                        partitionNeighborhoodBounds[i] = new Rectangle(
                                                (int)partitionCalculationBounds[i].getX() - neighborhoodRange,
                                                (int) globalBounds.getY(),
                                                (int)(partitionCalculationBounds[i].getWidth() + 2 * neighborhoodRange),
                                                (int)(partitionCalculationBounds[i].getHeight()));
                                
                            //the first and the last partition have a neighborhood area only on one side of 
                            //the calculation area:
                            partitionNeighborhoodBounds[i] = partitionNeighborhoodBounds[i].intersection(globalBounds);
                                nextUpperLeftCorner += pWidth; //+1 not required - the partitions will not overlap
                                
                                //the partitionCalculation bounds were created for inboxing:
                                if(boxingMode==NeighborhoodBoxingMode.outBoxing)
                                        partitionCalculationBounds[i]=partitionNeighborhoodBounds[i];
                                
                }
        }
        
        /* (non-Javadoc)
         * @see appl.parallel.spmd.split.SplitMap#getNeighborsForPosition(int)
         */
        public int[] getNeighborsForPosition(int pos) {
                int[] oneReturn = new int[1];
                int[] twoReturns = new int[2];

                //this is very simple in one 1D case, of course:
                //if only one Partition return null
                if (noOfPartitions == 1)
                        return new int[0];
                
                //for first partition
                if ((pos == 0)) {
                        oneReturn[0] = 1;
                        return oneReturn;
                }
                //for last partition
                if (pos == noOfPartitions - 1) {
                        oneReturn[0] = noOfPartitions - 2;
                        return oneReturn;
                }
                //for every other partition
                twoReturns[0] = pos - 1;
                twoReturns[1] = pos + 1;
                return twoReturns;
        }

}
1	mojays	2	package appl.parallel.spmd.split;
2
3			import java.awt.Rectangle;
4			import java.awt.geom.Rectangle2D;
5
6			import appl.parallel.spmd.split.AbstractSplitMap.NeighborhoodBoxingMode;
7			import appl.util.RasterMetaData;
8			import schmitzm.data.WritableGrid;
9
10			/**
11			* Responsible for splitting a 2D Area (e.g a {@link WritableGrid}) in a
12			* 1D fashion, which means in this case vertical (by cols). This is only a
13			* a virtual split (a map of a split).
14			*
15			* A neighborhood range can be specified to create partitions that
16			* overlap each other. This overlapping can be done in two different
17			* ways: <br><br>
18			*
19			* <b>Inboxing</b>(default):<br><br>
20			* Inboxing means, that the neighborhood area is not part of the calculation
21			* area.
22			* <br> <br>
23			* <b>Outboxing:</b><br>
24			* Outboxing means that the neighborhood area is part of the calculation area.
25			* <br> <br>
26			*
27			*
28			* Note that this class is flexible. It may also be applied
29			* to one dimensional data structures like for example arrays.
30			* If u want to do this, simply choose one of the dimensions as 1. <br>
31			*
32			* @author Dominik Appl
33			*/
34
35			public class SplitMap1DVertical extends AbstractSplitMap implements SplitMap {
36
37
38			// public SplitMap1DVertical(SplittableResource splittable, int neighborhoodRange, int noOfPartitions,
39			// NeighborhoodBoxingMode boxingMode) {
40			//
41			// super(splittable,neighborhoodRange, noOfPartitions, boxingMode);
42			// }
43
44
45			public SplitMap1DVertical(int width, int height, int neighborhoodRange, int noOfPartitions,
46			NeighborhoodBoxingMode boxingMode) {
47
48			super(width,height,neighborhoodRange, noOfPartitions, boxingMode);
49			}
50
51
52			/**
53			* needed for serialization
54			*/
55			public SplitMap1DVertical(){
56
57			}
58
59			/* (non-Javadoc)
60			* @see appl.parallel.spmd.split.DataSplitter#getDescription()
61			*/
62			public String getDescription() {
63			return "1D-GridSplitter";
64			}
65
66			/* (non-Javadoc)
67			* @see appl.parallel.spmd.split.DataSplitter#split(appl.parallel.spmd.split.SplittableRessource)
68			*/
69			public void makeMap() {
70			//the local calculation area is partitioned
71			int nextUpperLeftCorner = (int) globalBounds.getX(); //next x-value (will be 0)
72			for (int i = 0; i < noOfPartitions; i++) {
73
74			//calculate length based on weights
75			int pWidth = (int) (globalBounds.getWidth() * weights[i]);
76
77			//for the last position make sure, that ALL data is used
78			//and no line is lost due to rounding errors in weight calculation
79			if(i==noOfPartitions-1)
80			pWidth = (int) globalBounds.getWidth() - nextUpperLeftCorner;
81
82			//create inboxing(!) partition
83			partitionCalculationBounds[i] = new Rectangle(
84			nextUpperLeftCorner, (int) globalBounds.getY(), pWidth,
85			(int) globalBounds.getHeight());
86
87			//if there is only one partition there are no explicit neighborhood bounds
88			if(noOfPartitions==1)
89			partitionNeighborhoodBounds[i]=partitionCalculationBounds[i];
90			//else simply calculate the neighborhood bounds out of the previosly
91			//created calculation Area
92			else
93			partitionNeighborhoodBounds[i] = new Rectangle(
94			(int)partitionCalculationBounds[i].getX() - neighborhoodRange,
95			(int) globalBounds.getY(),
96			(int)(partitionCalculationBounds[i].getWidth() + 2 * neighborhoodRange),
97			(int)(partitionCalculationBounds[i].getHeight()));
98
99			//the first and the last partition have a neighborhood area only on one side of
100			//the calculation area:
101			partitionNeighborhoodBounds[i] = partitionNeighborhoodBounds[i].intersection(globalBounds);
102			nextUpperLeftCorner += pWidth; //+1 not required - the partitions will not overlap
103
104			//the partitionCalculation bounds were created for inboxing:
105			if(boxingMode==NeighborhoodBoxingMode.outBoxing)
106			partitionCalculationBounds[i]=partitionNeighborhoodBounds[i];
107
108			}
109			}
110
111			/* (non-Javadoc)
112			* @see appl.parallel.spmd.split.SplitMap#getNeighborsForPosition(int)
113			*/
114			public int[] getNeighborsForPosition(int pos) {
115			int[] oneReturn = new int[1];
116			int[] twoReturns = new int[2];
117
118			//this is very simple in one 1D case, of course:
119			//if only one Partition return null
120			if (noOfPartitions == 1)
121			return new int[0];
122
123			//for first partition
124			if ((pos == 0)) {
125			oneReturn[0] = 1;
126			return oneReturn;
127			}
128			//for last partition
129			if (pos == noOfPartitions - 1) {
130			oneReturn[0] = noOfPartitions - 2;
131			return oneReturn;
132			}
133			//for every other partition
134			twoReturns[0] = pos - 1;
135			twoReturns[1] = pos + 1;
136			return twoReturns;
137			}
138
139			}