GPU621/DPS921 T-eaSyPeasy
Revision as of 07:39, 14 April 2016 by Bernard Wouter de Vries Robles (talk | contribs) (→Source code for the assignment)
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T-eaSyPeasy
Team Members
Progress
Introduction
For my project instead of picking a new method to learn to parallelise with, I decided to try to paralellise an algorithm that is fairly hard to write, to see if after following this course I could actually parallelise an algorithm. The thing is, in the workshops we have only been parallelising algorithms that have been specifically written to be parallelised. I wanted to change that and see if I could still do it. The algorithm I am parallelising is a Branch & Bound Algorithm by Little from 1966. A good explanation of the algorithm can be found here: https://www.youtube.com/watch?v=nN4K8xA8ShM, the explanation of the branch and bound I wrote starts at 34:30.
Assignment 2
Source
#include <stdint.h> #include <vector> #include <algorithm> #include <fstream> #include <iostream> #include <cmath> #include <time.h> struct Selection { uint16_t row; uint16_t col; uint16_t val; Selection(uint16_t x, uint16_t y, uint16_t v); bool operator==(const Selection& rhs) { return (col == rhs.col && row == rhs.row); } bool operator!=(const Selection& rhs) { return !(col == rhs.col && row == rhs.row); } Selection() : row(UINT16_MAX), col(UINT16_MAX), val(UINT16_MAX) {} }; Selection::Selection(uint16_t r, uint16_t c, uint16_t v) { row = r; col = c; val = v; } struct Zero { uint16_t row; uint16_t col; uint16_t horPen; uint16_t vertPen; Zero(uint16_t row, uint16_t col); Zero() {}; }; Zero::Zero(uint16_t r, uint16_t c) { row = r; col = c; }; struct Node { int lowerBound; int matrixSize; bool solutionFound = false; bool invalidSolution = false; uint16_t* originalMatrix; uint16_t* workingCopy; Node(int amountOfCities, uint16_t* matrix, std::vector<std::vector<Selection>> solution, uint16_t lb); Node(int amountOfCities, uint16_t* matrix, std::vector<std::vector<Selection>> solution); std::vector<std::vector<Selection>> solution; Node* left; Node* right; void evaluate(){ std::vector<Selection> rowMinima; std::vector<Selection> colMinima; std::vector<Zero> zeroes; std::vector<bool> zeroInColumn(matrixSize, false); lowerBound = sumCurrentSolution(); createWorkingCopy(); findRowMinima(rowMinima, zeroInColumn); lowerBound += sumMinima(rowMinima); subtractMinima(rowMinima, true); findColMinima(colMinima, zeroInColumn); lowerBound += sumMinima(colMinima); subtractMinima(colMinima, false); gatherZeroes(rowMinima, colMinima, zeroes); if (zeroes.empty()) { invalidSolution = true; } else { findPenalties(zeroes); Zero assignment = assignLargestPenalty(zeroes); createLeftNode(solution, assignment); int subtourIndex = addToResult(solution, assignment); createRightNode(solution, assignment, subtourIndex); checkSolutionFound(); } free(workingCopy); } int sumCurrentSolution() { int result = 0; std::for_each(solution.begin(), solution.end(), [&](std::vector<Selection> v) { std::for_each(v.begin(), v.end(), [&](Selection s) { result += s.val; }); }); return result; } void checkSolutionFound() { solutionFound = (solution.size() == 1 && solution[0].size() == matrixSize - 1); } bool isSolutionFound() { return solutionFound; } std::vector<std::vector<Selection>> getSolution() { return solution; } void createWorkingCopy() { workingCopy = (uint16_t*)malloc(sizeof(uint16_t) * matrixSize * matrixSize); memcpy(workingCopy, originalMatrix, (sizeof(uint16_t) * matrixSize * matrixSize)); } void findRowMinima(std::vector<Selection>& rowMinima, std::vector<bool>& zeroInColumn) { for (int row = 0; row < matrixSize; row++) { int rowOffset = row * matrixSize; uint16_t currentMinimum = UINT16_MAX; Selection currentSelection; for (int col = 0; col < matrixSize; col++) { if (workingCopy[rowOffset + col] < currentMinimum) { currentMinimum = workingCopy[rowOffset + col]; currentSelection = Selection(row, col, currentMinimum); zeroInColumn[col] = true; } } if (currentMinimum != UINT16_MAX) { rowMinima.push_back(currentSelection); } } //std::for_each(rowMinima.begin(), rowMinima.end(), [&](Selection s) { // std::cout << " ( " << s.row << ", " << s.col << ") val = " << s.val << " \n"; //}); } int sumMinima(const std::vector<Selection>& minima) { int sum_of_elems = 0; std::for_each(minima.begin(), minima.end(), [&](Selection s) { sum_of_elems += s.val; }); return sum_of_elems; } void subtractMinima(std::vector<Selection> minima, const bool row) { if (row) { std::for_each(minima.begin(), minima.end(), [&](Selection s) { if (s.val != 0) { for (int j = 0; j < matrixSize; j++) { if (workingCopy[s.row*matrixSize + j] != UINT16_MAX) { workingCopy[s.row*matrixSize + j] -= s.val; } } } }); } else { std::for_each(minima.begin(), minima.end(), [&](Selection s) { if (s.val != 0) { for (int row = 0; row < matrixSize; row++) { if (workingCopy[row*matrixSize + s.col] != UINT16_MAX) { workingCopy[row*matrixSize + s.col] -= s.val; } } } }); } } void findColMinima(std::vector<Selection>& colMinima, const std::vector<bool>& zeroInColumn) { for (int col = 0; col < matrixSize; col++) { if (!zeroInColumn[col]) { uint16_t currentMinimum = UINT16_MAX; Selection currentSelection; for (int row = 0; row < matrixSize; row++) { if (workingCopy[row*matrixSize + col] < currentMinimum) { currentMinimum = workingCopy[row*matrixSize + col]; currentSelection = Selection(row, col, currentMinimum); } } if (currentMinimum != UINT16_MAX) { colMinima.push_back(currentSelection); } } } //std::for_each(colMinima.begin(), colMinima.end(), [&](Selection s) { // std::cout << " ( " << s.row << ", " << s.col << ") val = " << s.val << " \n"; //}); } void printMatrix() { std::cout << "\n Matrix: "; for (int i = 0; i < matrixSize; i++) { std::cout << "\n"; for (int j = 0; j < matrixSize; j++) { std::cout << workingCopy[i*matrixSize + j] << " "; } } std::cout << "\n"; } void printOriginalMatrix() { std::cout << "\nOriginal Matrix: "; for (int i = 0; i < matrixSize; i++) { std::cout << "\n"; for (int j = 0; j < matrixSize; j++) { std::cout << originalMatrix[i*matrixSize + j] << " "; } } std::cout << "\n"; } void printSolution() { std::cout << "\n intermediate :\n"; std::for_each(solution.begin(), solution.end(), [&](std::vector<Selection> v) { std::for_each(v.begin(), v.end(), [&](Selection s) { std::cout << "(" << s.row << ", " << s.col << ") value = " << s.val << " "; }); std::cout << "\n"; }); std::cout << "\n"; } void gatherZeroes(std::vector<Selection>& rowMinima, std::vector<Selection>& colMinima, std::vector<Zero>& zeroes) { for (int i = 0; i < matrixSize; i++) { for (int j = 0; j < matrixSize; j++) { if (workingCopy[i*matrixSize + j] == 0) { zeroes.push_back(Zero(i, j)); } } } //std::for_each(zeroes.begin(), zeroes.end(), [&](Zero z) { // std::cout << " zero found : row : " << z.row << " col : " << z.col << "\n"; //}); } void findPenalties(std::vector<Zero>& zeroes) { std::for_each(zeroes.begin(), zeroes.end(), [&](Zero& z) { uint16_t horizontalMin = UINT16_MAX; for (int col = 0; col < matrixSize; col++) { if (col != z.col && workingCopy[z.row*matrixSize + col] < horizontalMin) { horizontalMin = workingCopy[z.row*matrixSize + col]; } } z.horPen = horizontalMin; uint16_t verticalMin = UINT16_MAX; for (int row = 0; row < matrixSize; row++) { if (row != z.row && workingCopy[row * matrixSize + z.col] < verticalMin) { verticalMin = workingCopy[row * matrixSize + z.col]; } } z.vertPen = verticalMin; }); //std::for_each(zeroes.begin(), zeroes.end(), [&](Zero z) { // std::cout << " (" << z.row << ", " << z.col << ") Horizontal penalty: " << z.horPen << " Vertical penalty: " << z.vertPen << "\n"; //}); } Zero assignLargestPenalty(std::vector<Zero>& zeroes) { Zero assignment = zeroes[0]; std::for_each(zeroes.begin(), zeroes.end(), [&](Zero z) { if ((z.vertPen + z.horPen) > (assignment.vertPen + assignment.horPen)) { assignment = z; } }); return assignment; } int addToResult(std::vector<std::vector<Selection>>& solution, Zero assignment) { int startOfSubtourIndex = -1; int endOfSubtourIndex = -1; int index = 0; int result = 0; //dealing with subtours.... std::for_each(solution.begin(), solution.end(), [&](std::vector<Selection>& subtour) { if (subtour[0].row == assignment.col) { startOfSubtourIndex = index; } else if (subtour.back().col == assignment.row) { endOfSubtourIndex = index; } index++; }); if (startOfSubtourIndex > -1 && endOfSubtourIndex > -1) { //this case is true if our solution connects 2 subtours, by being at the start of one and at the end of the other. //we combine them by concatenating the subtour that it is the start of after the subtour that it is the end of. solution[endOfSubtourIndex].push_back(Selection(assignment.row, assignment.col, originalMatrix[assignment.row* matrixSize + assignment.col])); solution[endOfSubtourIndex].insert(solution[endOfSubtourIndex].end(), solution[startOfSubtourIndex].begin(), solution[startOfSubtourIndex].end()); solution.erase(solution.begin() + startOfSubtourIndex); result = endOfSubtourIndex; if (startOfSubtourIndex < endOfSubtourIndex) { result--; } } else if (startOfSubtourIndex > -1) { solution[startOfSubtourIndex].insert(solution[startOfSubtourIndex].begin(), Selection(assignment.row, assignment.col, originalMatrix[assignment.row * matrixSize + assignment.col])); //subtour elimination, we can no longer go FROM(column) subtour.back().row TO(row) assignment.col. result = startOfSubtourIndex; } else if (endOfSubtourIndex > -1) { solution[endOfSubtourIndex].push_back(Selection(assignment.row, assignment.col, originalMatrix[assignment.row* matrixSize + assignment.col])); //subtour elimination, we can no longer go FROM(column) assignment.row TO(row) subtour[0].col. result = endOfSubtourIndex; } else { solution.push_back(std::vector<Selection>(1, Selection(assignment.row, assignment.col, originalMatrix[assignment.row* matrixSize + assignment.col]))); result = solution.size() - 1; } return result; } void createLeftNode(std::vector<std::vector<Selection>>& solution, Zero assignment) { uint16_t* leftSideMatrix = (uint16_t*)malloc(sizeof(uint16_t)*matrixSize*matrixSize); for (int row = 0; row < matrixSize; row++) { for (int col = 0; col < matrixSize; col++) { if (row == assignment.row && col == assignment.col) { leftSideMatrix[row*matrixSize + col] = UINT16_MAX; } else { leftSideMatrix[row*matrixSize + col] = originalMatrix[row*matrixSize + col]; } } } left = new Node(matrixSize, leftSideMatrix, solution, lowerBound + assignment.horPen + assignment.vertPen); } void createRightNode(std::vector<std::vector<Selection>>& solution, Zero assignment, int subtourIndex) { uint16_t* rightSideMatrix = (uint16_t*)malloc(sizeof(uint16_t)*matrixSize*matrixSize); for (int row = 0; row < matrixSize; row++) { for (int col = 0; col < matrixSize; col++) { if (assignment.row == row || assignment.col == col) { rightSideMatrix[row*matrixSize + col] = UINT16_MAX; } else { rightSideMatrix[row*matrixSize + col] = originalMatrix[row*matrixSize + col]; } } } rightSideMatrix[solution[subtourIndex].back().col * matrixSize + solution[subtourIndex][0].row] = UINT16_MAX; right = new Node(matrixSize, rightSideMatrix, solution); } Node getRight() { return *right; } Node getLeft() { return *left; } }; Node::Node(int amountOfCities, uint16_t* matrix, std::vector<std::vector<Selection>> solution) : solution(solution) { matrixSize = amountOfCities; originalMatrix = matrix; } Node::Node(int amountOfCities,uint16_t* matrix, std::vector<std::vector<Selection>> solution, uint16_t lb) : solution(solution){ matrixSize = amountOfCities; originalMatrix = matrix; lowerBound = lb; } class Tree { Node *start; int lowerBound; int upperBound; std::vector<Node> nodes; }; void getMatrixFromFile(std::string filename, int matrixSize, uint16_t* originalMatrix) { std::vector<int> xValues(matrixSize); std::vector<int> yValues(matrixSize); int n, m, i = 0; std::ifstream read(filename); while (i < matrixSize && read >> n >> m) { xValues[i] = n; yValues[i] = m; i++; } for (int i = 0; i < matrixSize; i++) { for (int j = 0; j < matrixSize; j++) { if (i == j) { originalMatrix[i*matrixSize + j] = UINT16_MAX; } else { originalMatrix[i*matrixSize + j] = (uint16_t)sqrt(pow(xValues[i]-xValues[j], 2) + pow(yValues[i] - yValues[j],2)); } } } } void pruneNodeList(std::vector<Node>& nodeList, int upperBound) { int i = 0; while (i < nodeList.size()) { if (nodeList[i].lowerBound >= upperBound) { nodeList.erase(nodeList.begin() + i); } else { ++i; } } } int calculateSolution(uint16_t* originalMatrix, std::vector<std::vector<Selection>>& solution, int matrixSize) { int sum = 0; std::for_each(solution.begin(), solution.end(), [&](std::vector<Selection> v) { std::for_each(v.begin(), v.end(), [&](Selection s) { sum += s.val; }); }); sum += originalMatrix[solution[0].back().col * matrixSize + solution[0][0].row]; return sum; } int findNextEvaluation(std::vector<Node>& nodeList) { Node eval = nodeList[0]; int index = 0; int currentIndex = 0; std::for_each(nodeList.begin(), nodeList.end(), [&](Node n) { if (n.lowerBound < eval.lowerBound) { currentIndex = index; } index++; }); return currentIndex; } int main() { int amountOfCities = 15; uint16_t* originalMatrix = (uint16_t*)malloc(sizeof(uint16_t)*amountOfCities*amountOfCities); getMatrixFromFile("cities.txt", amountOfCities, originalMatrix); std::vector<std::vector<Selection>> solution; Node node = Node(amountOfCities, originalMatrix, solution); std::vector<Node> nodeList; std::vector<std::vector<Selection>> currentSolution; std::vector<std::vector<Selection>> tempSolution; int upperBound = UINT16_MAX; int count = 0; clock_t t1, t2; t1 = clock(); while (!node.isSolutionFound()) { node.evaluate(); count++; if (!node.isSolutionFound()) { nodeList.push_back(node.getLeft()); node = node.getRight(); } } currentSolution = node.getSolution(); upperBound = calculateSolution(originalMatrix, currentSolution, amountOfCities); pruneNodeList(nodeList, upperBound); while (!nodeList.empty()) { int nextNode = findNextEvaluation(nodeList); node = nodeList[nextNode]; nodeList.erase(nodeList.begin() + nextNode); while (!node.isSolutionFound() && !node.invalidSolution) { node.evaluate(); count++; if (!node.isSolutionFound() && !node.invalidSolution && node.lowerBound < upperBound) { if (node.getLeft().lowerBound < upperBound) { nodeList.push_back(node.getLeft()); } node = node.getRight(); } else if (node.lowerBound >= upperBound) { break; } else if(!node.invalidSolution){ tempSolution = node.getSolution(); int value = calculateSolution(originalMatrix, tempSolution, amountOfCities); if (value < upperBound) { currentSolution = tempSolution; upperBound = value; pruneNodeList(nodeList, upperBound); } } } } t2 = clock(); float diff((float)t2 - (float)t1); std::cout << "time spent: " << diff << "\n"; std::cout << "count = " << count << "\n"; std::cout << "\n Solution :\n"; std::for_each(currentSolution.begin(), currentSolution.end(), [&](std::vector<Selection> v) { std::for_each(v.begin(), v.end(), [&](Selection s) { std::cout << "(" << s.row << ", " << s.col << ") "; }); std::cout << "\n"; }); std::cout << "\nResult = " << upperBound; }