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7e09109cd2
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6c66654acc | |||
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27
emelyanov_artem_lab_6/Benchmark.java
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27
emelyanov_artem_lab_6/Benchmark.java
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import java.util.concurrent.ExecutionException;
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public class Benchmark {
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public static void main(String[] args) throws ExecutionException, InterruptedException {
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int[] sizes = {5, 7, 10};
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for (int size : sizes) {
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int[][] matrix = MatrixGenerator.generateMatrix(size);
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// Последовательное вычисление
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long startSequential = System.nanoTime();
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double detSequential = DeterminantCalculator.calculateDeterminant(matrix, 1);
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long endSequential = System.nanoTime();
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System.out.println("Последовательно (" + size + "x" + size + "): " + (endSequential - startSequential) / 1_000_000 + " ms, детерминант: " + detSequential);
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// Параллельное вычисление
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for (int numThreads : new int[]{2, 4, 8}) {
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long startParallel = System.nanoTime();
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double detParallel = DeterminantCalculator.calculateDeterminant(matrix, numThreads);
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long endParallel = System.nanoTime();
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System.out.println("Параллельно (" + size + "x" + size + ", " + numThreads + " потоков): " +
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(endParallel - startParallel) / 1_000_000 + " ms, детерминант: " + detParallel);
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}
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System.out.println("--------------------------------------------------");
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}
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}
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}
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80
emelyanov_artem_lab_6/DeterminantCalculator.java
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80
emelyanov_artem_lab_6/DeterminantCalculator.java
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import java.util.ArrayList;
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import java.util.List;
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import java.util.concurrent.ExecutionException;
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import java.util.concurrent.ExecutorService;
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import java.util.concurrent.Executors;
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import java.util.concurrent.Future;
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public class DeterminantCalculator {
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public static int calculateDeterminant(int[][] matrix, int numThreads) throws InterruptedException, ExecutionException {
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int size = matrix.length;
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// Если размер матрицы 1x1, возвращаем единственный элемент.
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if (size == 1) {
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return matrix[0][0];
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}
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// Если количество потоков равно 1, выполняем последовательный алгоритм.
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if (numThreads == 1) {
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return sequentialDeterminant(matrix);
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}
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// Иначе выполняем параллельный алгоритм.
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return parallelDeterminant(matrix, numThreads);
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}
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private static int sequentialDeterminant(int[][] matrix) {
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int size = matrix.length;
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if (size == 1) {
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return matrix[0][0];
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}
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if (size == 2) {
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return matrix[0][0] * matrix[1][1] - matrix[0][1] * matrix[1][0];
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}
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int determinant = 0;
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for (int col = 0; col < size; col++) {
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determinant += (int) (Math.pow(-1, col) * matrix[0][col] * sequentialDeterminant(getMinor(matrix, 0, col)));
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}
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return determinant;
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}
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private static int parallelDeterminant(int[][] matrix, int numThreads) throws InterruptedException, ExecutionException {
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int size = matrix.length;
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ExecutorService executor = Executors.newFixedThreadPool(numThreads);
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List<Future<Double>> futures = new ArrayList<>();
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for (int col = 0; col < size; col++) {
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int finalCol = col;
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futures.add(executor.submit(() -> {
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double minorDet = sequentialDeterminant(getMinor(matrix, 0, finalCol));
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return Math.pow(-1, finalCol) * matrix[0][finalCol] * minorDet;
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}));
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}
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int determinant = 0;
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for (Future<Double> future : futures) {
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determinant += future.get();
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}
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executor.shutdown();
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return determinant;
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}
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private static int[][] getMinor(int[][] matrix, int row, int col) {
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int size = matrix.length;
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int[][] minor = new int[size - 1][size - 1];
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for (int i = 0, mi = 0; i < size; i++) {
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if (i == row) continue;
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for (int j = 0, mj = 0; j < size; j++) {
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if (j == col) continue;
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minor[mi][mj] = matrix[i][j];
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mj++;
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}
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mi++;
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}
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return minor;
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}
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}
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11
emelyanov_artem_lab_6/MatrixGenerator.java
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11
emelyanov_artem_lab_6/MatrixGenerator.java
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public class MatrixGenerator {
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public static int[][] generateMatrix(int size) {
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int[][] matrix = new int[size][size];
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for (int i = 0; i < size; i++) {
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for (int j = 0; j < size; j++) {
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matrix[i][j] = (int) (Math.random() * 100);
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}
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}
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return matrix;
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}
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}
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12
emelyanov_artem_lab_6/Readme.md
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12
emelyanov_artem_lab_6/Readme.md
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# Поиск детерминанта
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Данная работа посвящена реализации и сравнению последовательного и параллельного алгоритмов поиска детерминанта матриц на языке Java. Целью является оценка производительности при использовании разного числа потоков.
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## Результаты:
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![img.png](images/img.png)
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Как видим, однозначно сказать нельзя, для маленьких матриц многопоточность особо не повлияла. Начиная с матрицы размерностью 10, есть прибавка в производительности. Посмотрим на сложность алгоритма, и она будет что-то около O(n!), так как алгоритм рекурсивный.
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Для больших матриц, типа 100 на 100, сложность будет огромной, и не думаю что такое получится посчитать.
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Ссылка на видео: https://drive.google.com/file/d/1eCNcSLLLfWGlOk5Z0y0CfOfkbxeASrdE/view?usp=sharing
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BIN
emelyanov_artem_lab_6/images/img.png
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BIN
emelyanov_artem_lab_6/images/img.png
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After Width: | Height: | Size: 49 KiB |
BIN
emelyanov_artem_lab_6/img.png
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emelyanov_artem_lab_6/img.png
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After Width: | Height: | Size: 49 KiB |
80
emelyanov_artem_lab_7/.idea/workspace.xml
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80
emelyanov_artem_lab_7/.idea/workspace.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<option name="SHOW_DIALOG" value="false" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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<option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
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<option name="LAST_RESOLUTION" value="IGNORE" />
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</component>
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<component name="Git.Settings">
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<option name="RECENT_BRANCH_BY_REPOSITORY">
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<map>
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<entry key="$PROJECT_DIR$/.." value="emelyanov_artem_lab_7" />
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</map>
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</option>
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<option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$/.." />
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</component>
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<component name="ProjectColorInfo"><![CDATA[{
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<option name="hideEmptyMiddlePackages" value="true" />
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<option name="showLibraryContents" value="true" />
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<component name="PropertiesComponent"><![CDATA[{
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"keyToString": {
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"RunOnceActivity.ShowReadmeOnStart": "true",
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"git-widget-placeholder": "emelyanov__artem__lab__6",
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"kotlin-language-version-configured": "true",
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"last_opened_file_path": "/home/forever/УлГТУ/Распределенные вычисления и приложения/DAS_2024_1/emelyanov_artem_lab_7",
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"node.js.detected.package.tslint": "true",
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"node.js.selected.package.tslint": "(autodetect)",
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"nodejs_package_manager_path": "npm",
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"settings.editor.selected.configurable": "preferences.keymap",
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"vue.rearranger.settings.migration": "true"
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