parallel/test/SPMDTest.java

package appl.parallel.test;

import java.awt.Rectangle;
import java.io.File;
import java.io.FileInputStream;
import java.io.Serializable;
import java.util.Random;
import java.util.Vector;

import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;

import org.apache.log4j.BasicConfigurator;
import org.apache.log4j.ConsoleAppender;
import org.apache.log4j.Layout;
import org.apache.log4j.Level;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import org.apache.log4j.PropertyConfigurator;

import edu.bonn.xulu.io.ImportFactory;
import edu.bonn.xulu.plugin.io.grid.array.WritableGridArrayFactory;

import schmitzm.data.WritableGrid;
import schmitzm.data.WritableGridArray;
import schmitzm.data.WritableGridRaster;
import schmitzm.geotools.io.GeoImportUtil;

import appl.parallel.ComputingResourceContainer;
import appl.parallel.client.RemoteEventHandler;
import appl.parallel.client.ClientDataServer;
import appl.parallel.data.splittable.SplittableLLProxyGrid;
import appl.parallel.services.GlobalDiscoveryService;
import appl.parallel.spmd.AbstractSPMDTask;
import appl.parallel.spmd.SPMDClientController;
import appl.parallel.spmd.SPMDTask;
import appl.parallel.spmd.SPMDServerController;
import appl.parallel.spmd.split.SplittableGrid;
import appl.util.RasterMetaData;
import appl.util.RasterUtil;

/**
 * Generated code for the test suite <b>SPMDTest</b> located at
 * <i>/XuluSVN/javasrc/appl/parallel/test/SPMDTest.testsuite</i>. This class
 * tests all the SPMD functionality, using only XULU/V and nearly nothing of
 * XULU
 */
public class SPMDTest extends TestCase implements Serializable {

        transient private final Logger LOG = LogManager.getLogger(this.getClass()
                        .getName());

        transient private ClientDataServer client;
        transient private Vector<ComputingResourceContainer> computingResources;
        transient private SPMDClientController clientController;

        transient SplittableGrid gridInput;
        transient SplittableGrid remoteInput;
        transient SplittableGrid localOutput;
        transient SplittableGrid remoteOutput;

        /**
         * Constructor for SPMDTest.
         * 
         * @param name
         */
        public SPMDTest(String name) {
                super(name);
        }

        /**
         * Returns the JUnit test suite that implements the <b>SPMDTest</b>
         * definition.
         */
        public static Test suite() {
                TestSuite sPMDTest = new TestSuite("SPMDTest");
//              sPMDTest.setArbiter(DefaultTestArbiter.INSTANCE).setId(
//                              "E873D66A70977ED2A98AAC10B54511DB");
//
//              sPMDTest.addTest(new SPMDTest("testSPMD").setId(
//                              "E873D66A70977ED2E5E8ED20B54511DB").setTestInvocationId(
//                              "E873D66A70977ED2EF7E3C00B54511DB"));
                return sPMDTest;
        }

        /**
         * @see junit.framework.TestCase#setUp()
         */
        protected void setUp() throws Exception {
                PropertyConfigurator.configure("xululog4j.cfg");
                computingResources = new GlobalDiscoveryService()
                                .getRemoteResources();

                for (ComputingResourceContainer computingRes : computingResources) {
                        System.out.println("DiscoveredRessource " + computingRes);
                }
                LOG.info("Discovery finished...");
                RemoteEventHandler handler = new RemoteEventHandler();
                client = new ClientDataServer(handler);
                clientController = new SPMDClientController(computingResources,null, client,handler);
                // ////////// Initialise data \\\\\\\\\\\\\
                WritableGridRaster baseGrid = GeoImportUtil
                                .readGridRasterFromArcInfoASCII(new File(
                                                "../Xulu-Data/minigrid2.arc")); // small data
//               "../Xulu-Data/large_clue_data/sc1gr0.0")); //large data
                gridInput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
                                new RasterMetaData(baseGrid));
                localOutput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
                                new RasterMetaData(baseGrid));
                remoteInput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
                                new RasterMetaData(baseGrid));
                remoteOutput = new SplittableLLProxyGrid(
                                new WritableGridArrayFactory(), new RasterMetaData(baseGrid));
                RasterUtil.copyInto(baseGrid, gridInput);
                RasterUtil.copyInto(baseGrid, remoteInput);
                //RasterUtil.copyInto(baseGrid, localOutput);
                //RasterUtil.copyInto(baseGrid, remoteOutput);
        }

        /**
         * @see junit.framework.TestCase#tearDown()
         */
        protected void tearDown() throws Exception {
                client.close();
                clientController.close();
                // GlobalDiscoveryService.getInstance().stopServices();
        }

        /**
         * TestSPMD
         * 
         * @throws Exception
         */
        public void testSPMD() throws Exception {
                int steps = 3;
                int neighborhoodRange = 6;
                System.out.println("Starting step 1: ");
                                
                /***********************************************************************
                 * START LOCAL ALGORITHM ******************** The simple Algorithm will
                 * calculate the average of the neighborhood und write the output to the
                 * coresponing cell in the output cell
                 **********************************************************************/

                Rectangle partition = new Rectangle(0, 0, gridInput.getWidth(),
                                gridInput.getHeight());
                if (gridInput.getWidth() < 20)
                        RasterUtil.printGrid(gridInput, 5, 1, "Input");
                
                for (int step = 0; step < steps; step++) {
//                       the overallsum is simply the sum over all elements
                        float overallSum = 0f;
                        long localStartTime = System.currentTimeMillis();
                        for (int y = 0; y < gridInput.getHeight(); y++)
                                for (int x = 0; x < gridInput.getWidth(); x++) {
                                        float tmp = gridInput.getRasterSampleAsFloat(x, y);
                                        if (!Float.isNaN(tmp))
                                                overallSum += tmp;
                                        // the local sum is simply the sum over all elements in the
                                        // neighborhood
                                        float localSum = 0;
                                        // number of cells over which the sum is calculated
                                        int noOfCells = 0;
                                        // for each cell: calculate the sum of all neighbors
                                        for (int y2 = y - neighborhoodRange; y2 <= y
                                                        + neighborhoodRange; y2++)
                                                for (int x2 = x - neighborhoodRange; x2 <= x
                                                                + neighborhoodRange; x2++)
                                                        // check if the coordinates are valid (inside the
                                                        // grid and not NaN)
                                                        if (partition.contains(x2, y2))
                                                                if (!Float.isNaN(gridInput
                                                                                .getRasterSampleAsFloat(x2, y2))) {
                                                                        localSum += gridInput
                                                                                        .getRasterSampleAsFloat(x2, y2);
                                                                        noOfCells++;
                                                                }

                                        localOutput.setRasterSample(localSum / (float) (noOfCells),
                                                        x, y);

                                }

                        System.out.print("Finished step " + (step+1) + " in "
                                        + ((System.currentTimeMillis() - localStartTime)) + " ms");
                        localStartTime = System.currentTimeMillis();
                        System.out.println(" with sum (local calculated): " + overallSum);
                        //copy values into results from output to input (for next step)
                        RasterUtil.copyInto(localOutput, gridInput);
                 }
                 if(gridInput.getWidth()<20)
                 RasterUtil.printGrid(localOutput, 5, 1, "Local Output");

                /***********************************************************************
                 * START REMOTE ALGORITHM
                 *  ******************** All the same..now remotely********************/
                 //set back the grid to the original input
                 
                 System.out
                                .println("******************* starting remote execution *****************");
                long remoteStartTime = System.currentTimeMillis();
                clientController.setNeighborhoodRange(neighborhoodRange);
                clientController.addToSplitControl(remoteInput, "inputGrid");
                clientController.addToSplitControl(remoteOutput, "outputGrid");
                System.out.println("After "
                                + ((System.currentTimeMillis() - remoteStartTime))
                                + "ms: finished with adding to splitcontroll");
                
                //********************** START STEP CONTROL *********************
                for (int step = 0; step < steps; step++) {
                        if(step > 0){
                                long updateStartTime = System.currentTimeMillis();
                                clientController.updateNeighborhood(remoteInput);
                                System.out.println("Update took:" + (System.currentTimeMillis()-updateStartTime));
                        }
                        try {
                                Object[] sum =clientController.runSPMDModelTask(
                                                new AverageNeighborhoodTestTask(), neighborhoodRange);
//                              add results
                                float overallSum = 0;
                                for (int i = 0; i < sum.length; i++)
                                        overallSum += (Float) sum[i];
                                System.out.println("finished step "
                                                + (step+1) + " in "
                                                + ((System.currentTimeMillis() - remoteStartTime))
                                                + "ms " + " with sum "+
                                                + overallSum);
                                remoteStartTime = System.currentTimeMillis();
                        } catch (Throwable e) {
                                // TODO Auto-generated catch block
                                e.printStackTrace();
                        }
                }
                //***************** END STEP CONTROL *****************************
                
                //After execution:
                // merge partitions and check if the local and remotely calculated
                // versions are equal
                remoteStartTime = System.currentTimeMillis();
                clientController.mergePartition(remoteOutput);
                System.out.println("Merging took another "
                                + ((System.currentTimeMillis() - remoteStartTime))
                                + "ms");
                // Thread.currentThread().sleep(10000);
                 if(remoteInput.getWidth()<20)
                         RasterUtil.printGrid(remoteOutput, 5, 1, "Remote Output");
                assertTrue(RasterUtil.checkEqual(remoteOutput, localOutput, true));
        }
}
1	mojays	2	package appl.parallel.test;
2
3			import java.awt.Rectangle;
4			import java.io.File;
5			import java.io.FileInputStream;
6			import java.io.Serializable;
7			import java.util.Random;
8			import java.util.Vector;
9
10			import junit.framework.Test;
11			import junit.framework.TestCase;
12			import junit.framework.TestSuite;
13
14			import org.apache.log4j.BasicConfigurator;
15			import org.apache.log4j.ConsoleAppender;
16			import org.apache.log4j.Layout;
17			import org.apache.log4j.Level;
18			import org.apache.log4j.LogManager;
19			import org.apache.log4j.Logger;
20			import org.apache.log4j.PropertyConfigurator;
21
22			import edu.bonn.xulu.io.ImportFactory;
23			import edu.bonn.xulu.plugin.io.grid.array.WritableGridArrayFactory;
24
25			import schmitzm.data.WritableGrid;
26			import schmitzm.data.WritableGridArray;
27			import schmitzm.data.WritableGridRaster;
28			import schmitzm.geotools.io.GeoImportUtil;
29
30			import appl.parallel.ComputingResourceContainer;
31			import appl.parallel.client.RemoteEventHandler;
32			import appl.parallel.client.ClientDataServer;
33			import appl.parallel.data.splittable.SplittableLLProxyGrid;
34			import appl.parallel.services.GlobalDiscoveryService;
35			import appl.parallel.spmd.AbstractSPMDTask;
36			import appl.parallel.spmd.SPMDClientController;
37			import appl.parallel.spmd.SPMDTask;
38			import appl.parallel.spmd.SPMDServerController;
39			import appl.parallel.spmd.split.SplittableGrid;
40			import appl.util.RasterMetaData;
41			import appl.util.RasterUtil;
42
43			/**
44			* Generated code for the test suite <b>SPMDTest</b> located at
45			* <i>/XuluSVN/javasrc/appl/parallel/test/SPMDTest.testsuite</i>. This class
46			* tests all the SPMD functionality, using only XULU/V and nearly nothing of
47			* XULU
48			*/
49			public class SPMDTest extends TestCase implements Serializable {
50
51			transient private final Logger LOG = LogManager.getLogger(this.getClass()
52			.getName());
53
54			transient private ClientDataServer client;
55			transient private Vector<ComputingResourceContainer> computingResources;
56			transient private SPMDClientController clientController;
57
58			transient SplittableGrid gridInput;
59			transient SplittableGrid remoteInput;
60			transient SplittableGrid localOutput;
61			transient SplittableGrid remoteOutput;
62
63			/**
64			* Constructor for SPMDTest.
65			*
66			* @param name
67			*/
68			public SPMDTest(String name) {
69			super(name);
70			}
71
72			/**
73			* Returns the JUnit test suite that implements the <b>SPMDTest</b>
74			* definition.
75			*/
76			public static Test suite() {
77			TestSuite sPMDTest = new TestSuite("SPMDTest");
78			// sPMDTest.setArbiter(DefaultTestArbiter.INSTANCE).setId(
79			// "E873D66A70977ED2A98AAC10B54511DB");
80			//
81			// sPMDTest.addTest(new SPMDTest("testSPMD").setId(
82			// "E873D66A70977ED2E5E8ED20B54511DB").setTestInvocationId(
83			// "E873D66A70977ED2EF7E3C00B54511DB"));
84			return sPMDTest;
85			}
86
87			/**
88			* @see junit.framework.TestCase#setUp()
89			*/
90			protected void setUp() throws Exception {
91			PropertyConfigurator.configure("xululog4j.cfg");
92			computingResources = new GlobalDiscoveryService()
93			.getRemoteResources();
94
95			for (ComputingResourceContainer computingRes : computingResources) {
96			System.out.println("DiscoveredRessource " + computingRes);
97			}
98			LOG.info("Discovery finished...");
99			RemoteEventHandler handler = new RemoteEventHandler();
100			client = new ClientDataServer(handler);
101			clientController = new SPMDClientController(computingResources,null, client,handler);
102			// ////////// Initialise data \\\\\\\\\\\\\
103			WritableGridRaster baseGrid = GeoImportUtil
104			.readGridRasterFromArcInfoASCII(new File(
105			"../Xulu-Data/minigrid2.arc")); // small data
106			// "../Xulu-Data/large_clue_data/sc1gr0.0")); //large data
107			gridInput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
108			new RasterMetaData(baseGrid));
109			localOutput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
110			new RasterMetaData(baseGrid));
111			remoteInput = new SplittableLLProxyGrid(new WritableGridArrayFactory(),
112			new RasterMetaData(baseGrid));
113			remoteOutput = new SplittableLLProxyGrid(
114			new WritableGridArrayFactory(), new RasterMetaData(baseGrid));
115			RasterUtil.copyInto(baseGrid, gridInput);
116			RasterUtil.copyInto(baseGrid, remoteInput);
117			//RasterUtil.copyInto(baseGrid, localOutput);
118			//RasterUtil.copyInto(baseGrid, remoteOutput);
119			}
120
121			/**
122			* @see junit.framework.TestCase#tearDown()
123			*/
124			protected void tearDown() throws Exception {
125			client.close();
126			clientController.close();
127			// GlobalDiscoveryService.getInstance().stopServices();
128			}
129
130			/**
131			* TestSPMD
132			*
133			* @throws Exception
134			*/
135			public void testSPMD() throws Exception {
136			int steps = 3;
137			int neighborhoodRange = 6;
138			System.out.println("Starting step 1: ");
139
140			/***********************************************************************
141			* START LOCAL ALGORITHM ******************** The simple Algorithm will
142			* calculate the average of the neighborhood und write the output to the
143			* coresponing cell in the output cell
144			**********************************************************************/
145
146			Rectangle partition = new Rectangle(0, 0, gridInput.getWidth(),
147			gridInput.getHeight());
148			if (gridInput.getWidth() < 20)
149			RasterUtil.printGrid(gridInput, 5, 1, "Input");
150
151			for (int step = 0; step < steps; step++) {
152			// the overallsum is simply the sum over all elements
153			float overallSum = 0f;
154			long localStartTime = System.currentTimeMillis();
155			for (int y = 0; y < gridInput.getHeight(); y++)
156			for (int x = 0; x < gridInput.getWidth(); x++) {
157			float tmp = gridInput.getRasterSampleAsFloat(x, y);
158			if (!Float.isNaN(tmp))
159			overallSum += tmp;
160			// the local sum is simply the sum over all elements in the
161			// neighborhood
162			float localSum = 0;
163			// number of cells over which the sum is calculated
164			int noOfCells = 0;
165			// for each cell: calculate the sum of all neighbors
166			for (int y2 = y - neighborhoodRange; y2 <= y
167			+ neighborhoodRange; y2++)
168			for (int x2 = x - neighborhoodRange; x2 <= x
169			+ neighborhoodRange; x2++)
170			// check if the coordinates are valid (inside the
171			// grid and not NaN)
172			if (partition.contains(x2, y2))
173			if (!Float.isNaN(gridInput
174			.getRasterSampleAsFloat(x2, y2))) {
175			localSum += gridInput
176			.getRasterSampleAsFloat(x2, y2);
177			noOfCells++;
178			}
179
180			localOutput.setRasterSample(localSum / (float) (noOfCells),
181			x, y);
182
183			}
184
185			System.out.print("Finished step " + (step+1) + " in "
186			+ ((System.currentTimeMillis() - localStartTime)) + " ms");
187			localStartTime = System.currentTimeMillis();
188			System.out.println(" with sum (local calculated): " + overallSum);
189			//copy values into results from output to input (for next step)
190			RasterUtil.copyInto(localOutput, gridInput);
191			}
192			if(gridInput.getWidth()<20)
193			RasterUtil.printGrid(localOutput, 5, 1, "Local Output");
194
195			/***********************************************************************
196			* START REMOTE ALGORITHM
197			* ****************** All the same..now remotely******************/
198			//set back the grid to the original input
199
200			System.out
201			.println("***************** starting remote execution ***************");
202			long remoteStartTime = System.currentTimeMillis();
203			clientController.setNeighborhoodRange(neighborhoodRange);
204			clientController.addToSplitControl(remoteInput, "inputGrid");
205			clientController.addToSplitControl(remoteOutput, "outputGrid");
206			System.out.println("After "
207			+ ((System.currentTimeMillis() - remoteStartTime))
208			+ "ms: finished with adding to splitcontroll");
209
210			//******************** START STEP CONTROL *******************
211			for (int step = 0; step < steps; step++) {
212			if(step > 0){
213			long updateStartTime = System.currentTimeMillis();
214			clientController.updateNeighborhood(remoteInput);
215			System.out.println("Update took:" + (System.currentTimeMillis()-updateStartTime));
216			}
217			try {
218			Object[] sum =clientController.runSPMDModelTask(
219			new AverageNeighborhoodTestTask(), neighborhoodRange);
220			// add results
221			float overallSum = 0;
222			for (int i = 0; i < sum.length; i++)
223			overallSum += (Float) sum[i];
224			System.out.println("finished step "
225			+ (step+1) + " in "
226			+ ((System.currentTimeMillis() - remoteStartTime))
227			+ "ms " + " with sum "+
228			+ overallSum);
229			remoteStartTime = System.currentTimeMillis();
230			} catch (Throwable e) {
231			// TODO Auto-generated catch block
232			e.printStackTrace();
233			}
234			}
235			//*************** END STEP CONTROL ***************************
236
237			//After execution:
238			// merge partitions and check if the local and remotely calculated
239			// versions are equal
240			remoteStartTime = System.currentTimeMillis();
241			clientController.mergePartition(remoteOutput);
242			System.out.println("Merging took another "
243			+ ((System.currentTimeMillis() - remoteStartTime))
244			+ "ms");
245			// Thread.currentThread().sleep(10000);
246			if(remoteInput.getWidth()<20)
247			RasterUtil.printGrid(remoteOutput, 5, 1, "Remote Output");
248			assertTrue(RasterUtil.checkEqual(remoteOutput, localOutput, true));
249			}
250			}