TriForce

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TriForce

Team Members

1. David Ferri, Sudoku Solver
2. Vincent Terpstra, Julia Sets
3. Raymond Kiguru, EasyBMP

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Progress

Assignment 1: Sudoku Solver

Sudoku Solver Profiling

Rather than try to continuously increase the difficulty of a 9x9 sudoku, I decided to modify the program I found to handle larger and large sudokus, increasing the size of the matrices that make up the sudoku (starting with a 9x9 sudoku, which is 9 3x3 matrices, then 16x16 which is 16 4x4 matrices, and finally 25x25 which is 25 5x5 matrices) without changing the logic of the program (only constants), so larger sudokus are solved the same way as a normal one.

Source code from: https://www.geeksforgeeks.org/sudoku-backtracking-7/

Original Code:

// A Backtracking program in C++ to solve Sudoku problem #include <stdio.h> // UNASSIGNED is used for empty cells in sudoku grid #define UNASSIGNED 0 // N is used for the size of Sudoku grid. Size will be NxN #define N 9 // This function finds an entry in grid that is still unassigned bool FindUnassignedLocation(int grid[N][N], int &row, int &col); // Checks whether it will be legal to assign num to the given row, col bool isSafe(int grid[N][N], int row, int col, int num); /* Takes a partially filled-in grid and attempts to assign values to all unassigned locations in such a way to meet the requirements for Sudoku solution (non-duplication across rows, columns, and boxes) */ bool SolveSudoku(int grid[N][N]) { int row, col; // If there is no unassigned location, we are done if (!FindUnassignedLocation(grid, row, col)) return true; // success! // consider digits 1 to 9 for (int num = 1; num <= 9; num++) { // if looks promising if (isSafe(grid, row, col, num)) { // make tentative assignment grid[row][col] = num; // return, if success, yay! if (SolveSudoku(grid)) return true; // failure, unmake & try again grid[row][col] = UNASSIGNED; } } return false; // this triggers backtracking } /* Searches the grid to find an entry that is still unassigned. If found, the reference parameters row, col will be set the location that is unassigned, and true is returned. If no unassigned entries remain, false is returned. */ bool FindUnassignedLocation(int grid[N][N], int &row, int &col) { for (row = 0; row < N; row++) for (col = 0; col < N; col++) if (grid[row][col] == UNASSIGNED) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified row matches the given number. */ bool UsedInRow(int grid[N][N], int row, int num) { for (int col = 0; col < N; col++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified column matches the given number. */ bool UsedInCol(int grid[N][N], int col, int num) { for (int row = 0; row < N; row++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry within the specified 3x3 box matches the given number. */ bool UsedInBox(int grid[N][N], int boxStartRow, int boxStartCol, int num) { for (int row = 0; row < 3; row++) for (int col = 0; col < 3; col++) if (grid[row+boxStartRow][col+boxStartCol] == num) return true; return false; } /* Returns a boolean which indicates whether it will be legal to assign num to the given row,col location. */ bool isSafe(int grid[N][N], int row, int col, int num) { /* Check if 'num' is not already placed in current row, current column and current 3x3 box */ return !UsedInRow(grid, row, num)&&!UsedInCol(grid, col, num)&&!UsedInBox(grid, row - row%3 , col - col%3, num)&&grid[row][col]==UNASSIGNED; } /* A utility function to print grid */ void printGrid(int grid[N][N]) { for (int row = 0; row < N; row++) { for (int col = 0; col < N; col++) printf("%2d", grid[row][col]); printf("\n"); } } /* Driver Program to test above functions */ int main() { // 0 means unassigned cells int grid[N][N] = {{3, 0, 6, 5, 0, 8, 4, 0, 0}, {5, 2, 0, 0, 0, 0, 0, 0, 0}, {0, 8, 7, 0, 0, 0, 0, 3, 1}, {0, 0, 3, 0, 1, 0, 0, 8, 0}, {9, 0, 0, 8, 6, 3, 0, 0, 5}, {0, 5, 0, 0, 9, 0, 6, 0, 0}, {1, 3, 0, 0, 0, 0, 2, 5, 0}, {0, 0, 0, 0, 0, 0, 0, 7, 4}, {0, 0, 5, 2, 0, 6, 3, 0, 0}}; if (SolveSudoku(grid) == true) printGrid(grid); else printf("No solution exists"); return 0; } Modified Version for 16x16 Puzzle: // A Backtracking program in C++ to solve Sudoku problem #include <stdio.h> // UNASSIGNED is used for empty cells in sudoku grid #define UNASSIGNED 0 // N is used for the size of Sudoku grid. Size will be NxN #define N 16 // This function finds an entry in grid that is still unassigned bool FindUnassignedLocation(int grid[N][N], int &row, int &col); // Checks whether it will be legal to assign num to the given row, col bool isSafe(int grid[N][N], int row, int col, int num); /* Takes a partially filled-in grid and attempts to assign values to all unassigned locations in such a way to meet the requirements for Sudoku solution (non-duplication across rows, columns, and boxes) */ bool SolveSudoku(int grid[N][N]) { int row, col; // If there is no unassigned location, we are done if (!FindUnassignedLocation(grid, row, col)) return true; // success! // consider digits 1 to 16 for (int num = 1; num <= 16; num++) { // if looks promising if (isSafe(grid, row, col, num)) { // make tentative assignment grid[row][col] = num; // return, if success, yay! if (SolveSudoku(grid)) return true; // failure, unmake & try again grid[row][col] = UNASSIGNED; } } return false; // this triggers backtracking } /* Searches the grid to find an entry that is still unassigned. If found, the reference parameters row, col will be set the location that is unassigned, and true is returned. If no unassigned entries remain, false is returned. */ bool FindUnassignedLocation(int grid[N][N], int &row, int &col) { for (row = 0; row < N; row++) for (col = 0; col < N; col++) if (grid[row][col] == UNASSIGNED) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified row matches the given number. */ bool UsedInRow(int grid[N][N], int row, int num) { for (int col = 0; col < N; col++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified column matches the given number. */ bool UsedInCol(int grid[N][N], int col, int num) { for (int row = 0; row < N; row++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry within the specified 4x4 box matches the given number. */ bool UsedInBox(int grid[N][N], int boxStartRow, int boxStartCol, int num) { for (int row = 0; row < 4; row++) for (int col = 0; col < 4; col++) if (grid[row+boxStartRow][col+boxStartCol] == num) return true; return false; } /* Returns a boolean which indicates whether it will be legal to assign num to the given row,col location. */ bool isSafe(int grid[N][N], int row, int col, int num) { /* Check if 'num' is not already placed in current row, current column and current 4x4 box */ return !UsedInRow(grid, row, num)&&!UsedInCol(grid, col, num)&&!UsedInBox(grid, row - row%4 , col - col%4, num)&&grid[row][col]==UNASSIGNED; } /* A utility function to print grid */ void printGrid(int grid[N][N]) { for (int row = 0; row < N; row++) { for (int col = 0; col < N; col++) printf("%2d", grid[row][col]); printf("\n"); } } /* Driver Program to test above functions */ int main() { //https://puzzlemadness.co.uk/16by16giantsudoku/ // 0 means unassigned cells int grid[N][N] = {{0, 8, 0, 0, 0, 0, 0, 3, 0, 0, 0, 10, 9, 7, 11, 0}, {0, 9, 15, 13, 0, 10, 0, 0, 2, 6, 8, 16, 0, 0, 0, 0}, {0, 0, 16, 0, 15, 0, 8, 0, 9, 0, 0, 0, 6, 0, 2, 0}, {1, 0, 2, 0, 9, 11, 4, 6, 15, 3, 5, 7, 0, 0, 12, 0}, {16, 6, 4, 0, 5, 2, 0, 0, 1, 0, 0, 0, 11, 0, 0, 12}, {5, 11, 0, 0, 0, 3, 0, 15, 0, 16, 0, 13, 0, 1, 0, 8}, {0, 0, 3, 0, 0, 6, 11, 14, 0, 5, 7, 0, 0, 9, 0, 0}, {0, 0, 0, 14, 8, 0, 10, 0, 0, 11, 12, 0, 0, 0, 0, 0}, {0, 7, 13, 0, 0, 0, 0, 12, 0, 8, 9, 0, 0, 0, 3, 0}, {0, 0, 11, 9, 0, 7, 0, 0, 0, 0, 0, 12, 0, 8, 16, 5}, {0, 0, 10, 0, 11, 13, 0, 0, 0, 0, 0, 3, 12, 0, 6, 0}, {0, 5, 0, 0, 10, 15, 0, 1, 7, 2, 0, 0, 14, 11, 0, 0}, {0, 0, 5, 0, 0, 12, 14, 0, 0, 10, 0, 0, 15, 0, 0, 4}, {9, 0, 14, 6, 0, 0, 1, 0, 16, 0, 2, 0, 3, 0, 13, 0}, {8, 13, 0, 4, 0, 0, 0, 0, 12, 7, 3, 0, 0, 6, 0, 0}, {0, 16, 12, 0, 0, 5, 0, 9, 0, 13, 14, 4, 1, 0, 0, 0}}; if (SolveSudoku(grid) == true) printGrid(grid); else printf("No solution exists"); return 0; } Modified Version for 25x25 puzzle: // A Backtracking program in C++ to solve Sudoku problem #include <stdio.h> // UNASSIGNED is used for empty cells in sudoku grid #define UNASSIGNED 0 // N is used for the size of Sudoku grid. Size will be NxN #define N 25 // This function finds an entry in grid that is still unassigned bool FindUnassignedLocation(int grid[N][N], int &row, int &col); // Checks whether it will be legal to assign num to the given row, col bool isSafe(int grid[N][N], int row, int col, int num); /* Takes a partially filled-in grid and attempts to assign values to all unassigned locations in such a way to meet the requirements for Sudoku solution (non-duplication across rows, columns, and boxes) */ bool SolveSudoku(int grid[N][N]) { int row, col; // If there is no unassigned location, we are done if (!FindUnassignedLocation(grid, row, col)) return true; // success! // consider digits 1 to 25 for (int num = 1; num <= 25; num++) { // if looks promising if (isSafe(grid, row, col, num)) { // make tentative assignment grid[row][col] = num; // return, if success, yay! if (SolveSudoku(grid)) return true; // failure, unmake & try again grid[row][col] = UNASSIGNED; } } return false; // this triggers backtracking } /* Searches the grid to find an entry that is still unassigned. If found, the reference parameters row, col will be set the location that is unassigned, and true is returned. If no unassigned entries remain, false is returned. */ bool FindUnassignedLocation(int grid[N][N], int &row, int &col) { for (row = 0; row < N; row++) for (col = 0; col < N; col++) if (grid[row][col] == UNASSIGNED) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified row matches the given number. */ bool UsedInRow(int grid[N][N], int row, int num) { for (int col = 0; col < N; col++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry in the specified column matches the given number. */ bool UsedInCol(int grid[N][N], int col, int num) { for (int row = 0; row < N; row++) if (grid[row][col] == num) return true; return false; } /* Returns a boolean which indicates whether an assigned entry within the specified 5x5 box matches the given number. */ bool UsedInBox(int grid[N][N], int boxStartRow, int boxStartCol, int num) { for (int row = 0; row < 5; row++) for (int col = 0; col < 5; col++) if (grid[row+boxStartRow][col+boxStartCol] == num) return true; return false; } /* Returns a boolean which indicates whether it will be legal to assign num to the given row,col location. */ bool isSafe(int grid[N][N], int row, int col, int num) { /* Check if 'num' is not already placed in current row, current column and current 5x5 box */ return !UsedInRow(grid, row, num)&&!UsedInCol(grid, col, num)&&!UsedInBox(grid, row - row%5 , col - col%5, num)&&grid[row][col]==UNASSIGNED; } /* A utility function to print grid */ void printGrid(int grid[N][N]) { for (int row = 0; row < N; row++) { for (int col = 0; col < N; col++) printf("%2d", grid[row][col]); printf("\n"); } } /* Driver Program to test above functions */ int main() { //http://www.sudoku-download.net/sudoku_25x25.php // 0 means unassigned cells int grid[N][N] = {{1, 0, 4, 0, 25, 0, 19, 0, 0, 10, 21, 8, 0, 14, 0, 6, 12, 9, 0, 0, 0, 0, 0, 0, 5}, {5, 0, 19, 23, 24, 0, 22, 12, 0, 0, 16, 6, 0, 20, 0, 18, 0, 25, 14, 13, 10, 11, 0, 1, 15}, {0, 0, 0, 0, 0, 0, 21, 5, 0, 20, 11, 10, 0, 1, 0, 4, 8, 24, 23, 15, 18, 0, 16, 22, 19}, {0, 7, 21, 8, 18, 0, 0, 0, 11, 0, 5, 0, 0, 24, 0, 0, 0, 17, 22, 1, 9, 6, 25, 0, 0}, {0, 13, 15, 0, 22, 14, 0, 18, 0, 16, 0, 0, 0, 4, 0, 0, 0, 19, 0, 0, 0, 24, 20, 21, 17}, {12, 0, 11, 0, 6, 0, 0, 0, 0, 15, 0, 0, 0, 0, 21, 25, 19, 0, 4, 0, 22, 14, 0, 20, 0}, {8, 0, 0, 21, 0, 16, 0, 0, 0, 2, 0, 3, 0, 0, 0, 0, 17, 23, 18, 22, 0, 0, 0, 24, 6}, {4, 0, 14, 18, 7, 9, 0, 22, 21, 19, 0, 0, 0, 2, 0, 5, 0, 0, 0, 6, 16, 15, 0, 11, 12}, {22, 0, 24, 0, 23, 0, 0, 11, 0, 7, 0, 0, 4, 0, 14, 0, 2, 12, 0, 8, 5, 19, 0, 25, 9}, {20, 0, 0, 0, 5, 0, 0, 0, 0, 17, 9, 0, 12, 18, 0, 1, 0, 0, 7, 24, 0, 0, 0, 13, 4}, {13, 0, 0, 5, 0, 2, 23, 14, 4, 18, 22, 0, 17, 0, 0, 20, 0, 1, 9, 21, 12, 0, 0, 8, 11}, {14, 23, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 20, 25, 0, 3, 4, 13, 0, 11, 21, 9, 5, 18, 22}, {7, 0, 0, 11, 17, 20, 24, 0, 0, 0, 3, 4, 1, 12, 0, 0, 6, 14, 0, 5, 25, 13, 0, 0, 0}, {0, 0, 16, 9, 0, 17, 11, 7, 10, 25, 0, 0, 0, 13, 6, 0, 0, 18, 0, 0, 19, 4, 0, 0, 20}, {6, 15, 0, 19, 4, 13, 0, 0, 5, 0, 18, 11, 0, 0, 9, 8, 22, 16, 25, 10, 7, 0, 0, 0, 0}, {0, 0, 0, 2, 0, 0, 10, 19, 3, 0, 1, 0, 22, 9, 4, 11, 15, 0, 20, 0, 0, 8, 23, 0, 25}, {0, 24, 8, 13, 1, 0, 0, 4, 20, 0, 17, 14, 0, 0, 18, 0, 16, 22, 5, 0, 11, 0, 10, 0, 0}, {23, 10, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 16, 0, 0, 17, 1, 0, 13, 0, 0, 3, 19, 12, 0}, {25, 5, 0, 14, 11, 0, 17, 0, 8, 24, 13, 0, 19, 23, 15, 9, 0, 0, 12, 0, 20, 0, 22, 0, 7}, {0, 0, 17, 4, 0, 22, 15, 0, 23, 11, 12, 25, 0, 0, 0, 0, 18, 8, 0, 7, 0, 0, 14, 0, 13}, {19, 6, 23, 22, 8, 0, 0, 1, 25, 4, 14, 2, 0, 3, 7, 13, 10, 11, 16, 0, 0, 0, 0, 0, 0}, {0, 4, 0, 17, 0, 3, 0, 24, 0, 8, 20, 23, 11, 10, 25, 22, 0, 0, 0, 12, 13, 2, 18, 6, 0}, {0, 0, 7, 16, 0, 0, 6, 17, 2, 21, 0, 18, 0, 0, 0, 19, 0, 0, 8, 0, 0, 0, 0, 4, 0}, {18, 9, 25, 1, 2, 11, 0, 0, 13, 22, 4, 0, 21, 0, 5, 0, 23, 7, 0, 0, 15, 0, 3, 0, 8}, {0, 21, 10, 0, 0, 12, 0, 20, 16, 0, 19, 0, 0, 0, 0, 15, 14, 4, 2, 18, 23, 25, 11, 7, 0}}; if (SolveSudoku(grid) == true) printGrid(grid); else printf("No solution exists"); return 0; }

Obtaining flat profiles and call graphs on matrix environment:

$ g++ sudokuC.cpp  -std=c++0x -o Sudoku
$ ./Sudoku
3 1 6 5 7 8 4 9 2
5 2 9 1 3 4 7 6 8
4 8 7 6 2 9 5 3 1
2 6 3 4 1 5 9 8 7
9 7 4 8 6 3 1 2 5
8 5 1 7 9 2 6 4 3
1 3 8 9 4 7 2 5 6
6 9 2 3 5 1 8 7 4
7 4 5 2 8 6 3 1 9
$ gprof -p -b ./Sudoku gmon.out > 9x9.flt
$ gprof -q -b ./Sudoku gmon.out > 9x9.clg

$  g++ sudokuC16.cpp  -std=c++0x -pg -o Sudoku16
$ ./Sudoku16
12 8 6 516 1 2 31314 410 9 71115
11 915131210 7 5 2 6 816 414 1 3
 4 316 71514 813 91211 1 6 5 210
 114 210 911 4 615 3 5 7 8131216
16 6 415 5 213 7 1 910 811 31412
 511 9 2 4 312151416 613 7 110 8
1012 3 8 1 61114 4 5 7 216 91513
13 1 714 8 91016 3111215 2 4 5 6
 2 71316 6 4 51211 8 9141015 3 1
 6 411 914 7 3 210 1151213 816 5
141510 11113 9 8 5 416 312 2 6 7
 3 5 812101516 1 7 213 61411 4 9
 7 2 5 313121411 610 1 91516 8 4
 91014 6 7 8 1 41615 2 5 3121311
 813 1 4 216151012 7 311 5 6 914
15161211 3 5 6 9 81314 4 110 7 2
$ gprof -p -b ./Sudoku16 gmon.out > 16x16.flt
$ gprof -q -b ./Sudoku16 gmon.out > 16x16.clg

$  g++ sudokuC25.cpp  -std=c++0x -pg -o Sudoku25
$ ./Sudoku25
 111 42025241915171021 8181422 612 9 316 2 71323 5
 5 2192324 82212 9 316 6 7201718212514131011 4 115
1714 9 6 32521 5 7201110 2 113 4 82423151812162219
16 721 818 4 2131123 51915241210201722 1 9 62514 3
101315122214 118 61623 925 4 3 7 51911 2 824202117
12 11110 6 513232415 716 817212519 3 4 92214 22018
 8191321 916 42512 215 3 511201417231822 110 724 6
 4171418 7 9 322211925 124 223 5132010 61615 81112
22 3241523182011 1 71013 4 61416 21221 8 5191725 9
2016 225 510 8 61417 922121819 11115 724 3232113 4
1325 3 510 22314 418221517192420 7 1 9211216 6 811
1423 124121916 815 6 2 7202510 3 413171121 9 51822
 7 818111720242122 9 3 4 11216 2 61419 52513151023
 22216 9211711 71025 8 51413 6122418152319 4 1 320
 6152019 41312 3 5 118112321 9 822162510 71724 214
211812 216 71019 313 12422 9 41115 6201417 823 525
 924 813 1 625 420121714 3 718231622 51911211015 2
231022 71521 5 91814 62016 81117 1 21325 4 3191224
25 5 61411 117 2 8241321192315 9 31012 420182216 7
 32017 4192215162311122510 5 22118 824 7 6 114 913
19 62322 81518 125 414 2 9 3 7131011162024 5121721
15 4 51714 3 72419 8202311102522 921 11213 218 616
1112 7162023 617 22124181315 11925 5 8 31422 9 410
18 925 1 21114101322 4122116 52423 7 6171520 319 8
242110 31312 92016 51917 622 81514 4 218232511 7 1
$ gprof -p -b ./Sudoku25 gmon.out > 25x25.flt
$ gprof -q -b ./Sudoku25 gmon.out > 25x25.clg

For 9x9 Sudoku Puzzle (3x3 squares)

Flat profile:
Each sample counts as 0.01 seconds.
 no time accumulated

  %   cumulative   self              self     total           
 time   seconds   seconds    calls  Ts/call  Ts/call  name    
  0.00      0.00     0.00     6732     0.00     0.00  isSafe(int (*) [9], int, int, int)
  0.00      0.00     0.00     6732     0.00     0.00  UsedInRow(int (*) [9], int, int)
  0.00      0.00     0.00     2185     0.00     0.00  UsedInCol(int (*) [9], int, int)
  0.00      0.00     0.00     1078     0.00     0.00  UsedInBox(int (*) [9], int, int, int)
  0.00      0.00     0.00      770     0.00     0.00  FindUnassignedLocation(int (*) [9], int&, int&)
  0.00      0.00     0.00        1     0.00     0.00  SolveSudoku(int (*) [9])
  0.00      0.00     0.00        1     0.00     0.00  printGrid(int (*) [9])

Call graph

granularity: each sample hit covers 2 byte(s) no time propagated

index % time    self  children    called     name
                0.00    0.00    6732/6732        SolveSudoku(int (*) [9]) [13]
[8]      0.0    0.00    0.00    6732         isSafe(int (*) [9], int, int, int) [8]
                0.00    0.00    6732/6732        UsedInRow(int (*) [9], int, int) [9]
                0.00    0.00    2185/2185        UsedInCol(int (*) [9], int, int) [10]
                0.00    0.00    1078/1078        UsedInBox(int (*) [9], int, int, int) [11]
-----------------------------------------------
                0.00    0.00    6732/6732        isSafe(int (*) [9], int, int, int) [8]
[9]      0.0    0.00    0.00    6732         UsedInRow(int (*) [9], int, int) [9]
-----------------------------------------------
                0.00    0.00    2185/2185        isSafe(int (*) [9], int, int, int) [8]
[10]     0.0    0.00    0.00    2185         UsedInCol(int (*) [9], int, int) [10]
-----------------------------------------------
                0.00    0.00    1078/1078        isSafe(int (*) [9], int, int, int) [8]
[11]     0.0    0.00    0.00    1078         UsedInBox(int (*) [9], int, int, int) [11]
-----------------------------------------------
                0.00    0.00     770/770         SolveSudoku(int (*) [9]) [13]
[12]     0.0    0.00    0.00     770         FindUnassignedLocation(int (*) [9], int&, int&) [12]
-----------------------------------------------
                                769             SolveSudoku(int (*) [9]) [13]
                0.00    0.00       1/1           main [6]
[13]     0.0    0.00    0.00       1+769     SolveSudoku(int (*) [9]) [13]
               0.00    0.00    6732/6732        isSafe(int (*) [9], int, int, int) [8]
               0.00    0.00     770/770         FindUnassignedLocation(int (*) [9], int&, int&) [12]
                                769             SolveSudoku(int (*) [9]) [13]
-----------------------------------------------
               0.00    0.00       1/1           main [6]
[14]     0.0    0.00    0.00       1         printGrid(int (*) [9]) [14]
-----------------------------------------------
Index by function name
  [13] SolveSudoku(int (*) [9]) [11] UsedInBox(int (*) [9], int, int, int) [14] printGrid(int (*) [9])
  [12] FindUnassignedLocation(int (*) [9], int&, int&) [10] UsedInCol(int (*) [9], int, int)
  [8] isSafe(int (*) [9], int, int, int) [9] UsedInRow(int (*) [9], int, int)

For 16x16 Sudoku Puzzle (4x4 squares) Puzzle from: [1]

Flat profile:
Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls   s/call   s/call  name    
 39.04     15.00    15.00 28071636     0.00     0.00  FindUnassignedLocation(int (*) [16], int&, int&)
 36.19     28.90    13.90 449145092     0.00     0.00  UsedInRow(int (*) [16], int, int)
 10.60     32.97     4.07 120354547     0.00     0.00  UsedInCol(int (*) [16], int, int)
  4.97     34.88     1.91 41212484     0.00     0.00  UsedInBox(int (*) [16], int, int, int)
  4.59     36.65     1.76        1     1.76    38.39  SolveSudoku(int (*) [16])
  4.55     38.39     1.75 449145092     0.00     0.00  isSafe(int (*) [16], int, int, int)
  0.01     38.40     0.01                             frame_dummy
  0.00     38.40     0.00        1     0.00     0.00  printGrid(int (*) [16])

Call graph

granularity: each sample hit covers 2 byte(s) for 0.03% of 36.85 seconds

index % time    self  children    called     name
                                                <spontaneous>
[1]    100.0    0.00   36.85                 main [1]
               1.93   34.93       1/1           SolveSudoku(int (*) [16]) [2]
               0.00    0.00       1/1           printGrid(int (*) [16]) [14]
-----------------------------------------------
                            28071635             SolveSudoku(int (*) [16]) [2]
                1.93   34.93       1/1           main [1]
[2]    100.0    1.93   34.93       1+28071635 SolveSudoku(int (*) [16]) [2]
                1.69   19.09 449145092/449145092     isSafe(int (*) [16], int, int, int) [3]
               14.14    0.00 28071636/28071636     FindUnassignedLocation(int (*) [16], int&, int&) [4]
                             28071635             SolveSudoku(int (*) [16]) [2]
-----------------------------------------------
                1.69   19.09 449145092/449145092     SolveSudoku(int (*) [16]) [2]
[3]     56.4    1.69   19.09 449145092         isSafe(int (*) [16], int, int, int) [3]
               13.58    0.00 449145092/449145092     UsedInRow(int (*) [16], int, int) [5]
                3.54    0.00 120354547/120354547     UsedInCol(int (*) [16], int, int) [6]
                1.98    0.00 41212484/41212484     UsedInBox(int (*) [16], int, int, int) [7]
-----------------------------------------------
               14.14    0.00 28071636/28071636     SolveSudoku(int (*) [16]) [2]
[4]     38.4   14.14    0.00 28071636         FindUnassignedLocation(int (*) [16], int&, int&) [4]
-----------------------------------------------
               13.58    0.00 449145092/449145092     isSafe(int (*) [16], int, int, int) [3]
[5]     36.8   13.58    0.00 449145092         UsedInRow(int (*) [16], int, int) [5]
-----------------------------------------------
                3.54    0.00 120354547/120354547     isSafe(int (*) [16], int, int, int) [3]
[6]      9.6    3.54    0.00 120354547         UsedInCol(int (*) [16], int, int) [6]
-----------------------------------------------
                1.98    0.00 41212484/41212484     isSafe(int (*) [16], int, int, int) [3]
[7]      5.4    1.98    0.00 41212484         UsedInBox(int (*) [16], int, int, int) [7]
-----------------------------------------------
                0.00    0.00       1/1           main [1]
[14]     0.0    0.00    0.00       1         printGrid(int (*) [16]) [14]
-----------------------------------------------
Index by function name
  [2] SolveSudoku(int (*) [16]) [7] UsedInBox(int (*) [16], int, int, int) [14] printGrid(int (*) [16])
  [4] FindUnassignedLocation(int (*) [16], int&, int&) [6] UsedInCol(int (*) [16], int, int)
  [3] isSafe(int (*) [16], int, int, int) [5] UsedInRow(int (*) [16], int, int)

For 25x25 Sudoku Puzzle (5x5 squares) Puzzle from: http://www.sudoku-download.net/sudoku_25x25.php

Flat profile:
Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  Ks/call  Ks/call  name    
 48.76   1052.18  1052.18 425478951     0.00     0.00  UsedInRow(int (*) [25], int, int)
 25.24   1596.81   544.63 876012758     0.00     0.00  FindUnassignedLocation(int (*) [25], int&, int&)
 12.48   1866.03   269.21 590817023     0.00     0.00  UsedInCol(int (*) [25], int, int)
  4.83   1970.24   104.21 425478951     0.00     0.00  isSafe(int (*) [25], int, int, int)
  4.79   2073.51   103.27        1     0.10     2.17  SolveSudoku(int (*) [25])
  4.35   2167.39    93.89 1355081265     0.00     0.00  UsedInBox(int (*) [25], int, int, int)
  0.01   2167.56     0.17                             frame_dummy
  0.00   2167.56     0.00        1     0.00     0.00  printGrid(int (*) [25])

Call graph

granularity: each sample hit covers 2 byte(s) for 0.00% of 2085.44 seconds 

index % time    self  children    called     name
                                                 <spontaneous>
[1]    100.0    0.00 2085.30                 main [1]
               97.03 1988.27       1/1           SolveSudoku(int (*) [25]) [2]
                0.00    0.00       1/1           printGrid(int (*) [25]) [14]
-----------------------------------------------
                             876012757             SolveSudoku(int (*) [25]) [2]
               97.03 1988.27       1/1           main [1]
[2]    100.0   97.03 1988.27       1+876012757 SolveSudoku(int (*) [25]) [2]
              101.19 1361.55 425478951/425478951     isSafe(int (*) [25], int, int, int) [3]
              525.53    0.00 876012758/876012758     FindUnassignedLocation(int (*) [25], int&, int&) [5]
                             876012757             SolveSudoku(int (*) [25]) [2]
-----------------------------------------------
              101.19 1361.55 425478951/425478951     SolveSudoku(int (*) [25]) [2]
[3]     70.1  101.19 1361.55 425478951         isSafe(int (*) [25], int, int, int) [3]
             1011.03    0.00 425478951/425478951     UsedInRow(int (*) [25], int, int) [4]
              259.56    0.00 590817023/590817023     UsedInCol(int (*) [25], int, int) [6]
               90.96    0.00 1355081265/1355081265     UsedInBox(int (*) [25], int, int, int) [7]
-----------------------------------------------
             1011.03    0.00 425478951/425478951     isSafe(int (*) [25], int, int, int) [3]
[4]     48.5 1011.03    0.00 425478951         UsedInRow(int (*) [25], int, int) [4]
-----------------------------------------------
              525.53    0.00 876012758/876012758     SolveSudoku(int (*) [25]) [2]
[5]     25.2  525.53    0.00 876012758         FindUnassignedLocation(int (*) [25], int&, int&) [5]
-----------------------------------------------
              259.56    0.00 590817023/590817023     isSafe(int (*) [25], int, int, int) [3]
[6]     12.4  259.56    0.00 590817023         UsedInCol(int (*) [25], int, int) [6]
-----------------------------------------------
               90.96    0.00 1355081265/1355081265     isSafe(int (*) [25], int, int, int) [3]
[7]      4.4   90.96    0.00 1355081265         UsedInBox(int (*) [25], int, int, int) [7]
-----------------------------------------------
                                                 <spontaneous>
[8]      0.0    0.14    0.00                 frame_dummy [8]
-----------------------------------------------
                0.00    0.00       1/1           main [1]
[14]     0.0    0.00    0.00       1         printGrid(int (*) [25]) [14]
-----------------------------------------------
Index by function name
  [2] SolveSudoku(int (*) [25]) [7] UsedInBox(int (*) [25], int, int, int) [14] printGrid(int (*) [25])
  [5] FindUnassignedLocation(int (*) [25], int&, int&) [6] UsedInCol(int (*) [25], int, int) [8] frame_dummy
  [3] isSafe(int (*) [25], int, int, int) [4] UsedInRow(int (*) [25], int, int)

Assignment 1: EasyBMP

EasyBMP Bitmap image library (Sample Program: Image to black and white renderer)

Library: http://easybmp.sourceforge.net/

Sample code:

/**/ #include "EasyBMP.h" using namespace std; int main(int argc, char* argv[]) { // Create a new Bitmap image with EasyBMP BMP Background; Background.ReadFromFile(argv[1]); BMP Output; int picWidth = Background.TellWidth(); int picHeight = Background.TellHeight(); Output.SetSize(Background.TellWidth(), Background.TellHeight()); Output.SetBitDepth(1); for (int i = 1; i < picWidth - 1; ++i) { for (int j = 1; j < picHeight - 1; ++j) { int col = (Background(i, j)->Blue + Background(i, j)->Green + 10 * Background(i, j)->Red) / 12; if (col > 127) { Output(i, j)->Red = 255; Output(i, j)->Blue = 255; Output(i, j)->Green = 255; } else { Output(i, j)->Red = 0; Output(i, j)->Blue = 0; Output(i, j)->Green = 0; } } } Output.WriteToFile(argv[2]); return 0; } /**/

The program was compiled using the following commands:

g++ -c -pg -g BW.cpp EasyBMP.cpp
g++ -pg BW.o EasyBMP.o -o BW
rm *.o

Attempted to run the program with a number of files (8K resolution):

Sample Images

Flat profile (Cabin):

Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls s/call s/call name 31.38 1.74 1.74 33177600 0.00 0.00 BMP::FindClosestColor(RGBApixel&) 23.52 3.04 1.30 198921624 0.00 0.00 BMP::operator()(int, int) 9.95 3.59 0.55 2 0.28 0.28 BMP::SetSize(int, int) 7.60 4.01 0.42 41663472 0.00 0.00 BMP::GetColor(int) 6.87 4.39 0.38 main 5.43 4.69 0.30 74841076 0.00 0.00 IntPow(int, int) 3.62 4.89 0.20 74841072 0.00 0.00 BMP::TellNumberOfColors() 3.35 5.07 0.19 4320 0.00 0.00 BMP::Write1bitRow(unsigned char*, int, int) 2.53 5.21 0.14 124990416 0.00 0.00 IntSquare(int) 2.17 5.33 0.12 4320 0.00 0.00 BMP::Read24bitRow(unsigned char*, int, int) 1.63 5.42 0.09 2 0.05 0.05 BMP::~BMP() 0.90 5.47 0.05 GetEasyBMPwarningState() 0.72 5.51 0.04 1 0.04 0.04 _GLOBAL__sub_I_EasyBMPwarnings 0.18 5.52 0.01 2 0.01 0.01 BMP::TellWidth() 0.18 5.53 0.01 1 0.01 2.99 BMP::WriteToFile(char const*) 0.00 5.53 0.00 16 0.00 0.00 SafeFread(char*, int, int, _IO_FILE*) 0.00 5.53 0.00 6 0.00 0.00 IsBigEndian() 0.00 5.53 0.00 2 0.00 0.00 EasyBMPcheckDataSize() 0.00 5.53 0.00 2 0.00 0.00 BMP::TellHeight() 0.00 5.53 0.00 2 0.00 0.00 BMP::SetBitDepth(int) 0.00 5.53 0.00 2 0.00 0.00 BMP::BMP() 0.00 5.53 0.00 2 0.00 0.00 BMFH::BMFH() 0.00 5.53 0.00 2 0.00 0.00 BMIH::BMIH() 0.00 5.53 0.00 1 0.00 0.00 _GLOBAL__sub_I_main 0.00 5.53 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 5.53 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 5.53 0.00 1 0.00 0.40 BMP::ReadFromFile(char const*) 0.00 5.53 0.00 1 0.00 0.00 BMP::CreateStandardColorTable()

Flat profile (Lake):

Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls s/call s/call name 30.60 1.71 1.71 33177600 0.00 0.00 BMP::FindClosestColor(RGBApixel&) 21.12 2.89 1.18 198921624 0.00 0.00 BMP::operator()(int, int) 10.20 3.46 0.57 2 0.29 0.29 BMP::SetSize(int, int) 8.59 3.94 0.48 main 6.26 4.29 0.35 76982189 0.00 0.00 IntPow(int, int) 6.08 4.63 0.34 43804585 0.00 0.00 BMP::GetColor(int) 5.55 4.94 0.31 76982185 0.00 0.00 BMP::TellNumberOfColors() 3.76 5.15 0.21 4320 0.00 0.00 BMP::Write1bitRow(unsigned char*, int, int) 3.76 5.36 0.21 131413755 0.00 0.00 IntSquare(int) 2.15 5.48 0.12 4320 0.00 0.00 BMP::Read24bitRow(unsigned char*, int, int) 1.07 5.54 0.06 2 0.03 0.03 BMP::~BMP() 0.54 5.57 0.03 GetEasyBMPwarningState() 0.36 5.59 0.02 1 0.02 0.02 _GLOBAL__sub_I_EasyBMPwarnings 0.00 5.59 0.00 16 0.00 0.00 SafeFread(char*, int, int, _IO_FILE*) 0.00 5.59 0.00 6 0.00 0.00 IsBigEndian() 0.00 5.59 0.00 2 0.00 0.00 EasyBMPcheckDataSize() 0.00 5.59 0.00 2 0.00 0.00 BMP::TellHeight() 0.00 5.59 0.00 2 0.00 0.00 BMP::SetBitDepth(int) 0.00 5.59 0.00 2 0.00 0.00 BMP::TellWidth() 0.00 5.59 0.00 2 0.00 0.00 BMP::BMP() 0.00 5.59 0.00 2 0.00 0.00 BMFH::BMFH() 0.00 5.59 0.00 2 0.00 0.00 BMIH::BMIH() 0.00 5.59 0.00 1 0.00 0.00 _GLOBAL__sub_I_main 0.00 5.59 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 5.59 0.00 1 0.00 0.00 __static_initialization_and_destruction_0(int, int) 0.00 5.59 0.00 1 0.00 3.13 BMP::WriteToFile(char const*) 0.00 5.59 0.00 1 0.00 0.41 BMP::ReadFromFile(char const*) 0.00 5.59 0.00 1 0.00 0.00 BMP::CreateStandardColorTable()

Assignment 1: Julia Sets

This portion of the assignment focuses on Julia sets with the quadratic formula:

 fc(z) = z^2 + c;
 Where c and z are complex numbers

Psuedo code

 for(Pixel pix in image){
     pix.color = colorFunction(escapeValue(pix.loc, julia));
 }

 escapeValue(Complex loc, Complex julia){
     int cycles = 0;
     while(|loc| <=2 && ++cycles < MAXCYCLES){
        loc = loc * loc + julia;
     }
     return cycles;
 }

Julia.cpp

/** * Julia.cpp * Vincent Terpstra * Feb 18 / 2019 * Functions to display a Julia set */ #include <iostream> #include <math.h> #include "Bitmap.h" #define MAXCYCLES 1000 #define ITER 1 #define PI 3.14159 void calcJulia(int* array, int width, int height, float jR, float jI); void createBMP(int* array, int width, int height); int main(int size, const char ** args) { int height = (size > 1) ? atoi(args[1]) : 1000; int width = height / 2 * 3; int * array = new int[height * width]; //Initial Julia Point value float jI = -0.4f; float jR = 0.6f; //for rotating the Julia point around the origin float angle = 2.0f / ITER * PI; float cosA = cos(angle); float sinA = sin(angle); for(int i = 0; i < ITER; i++){ calcJulia(array, width, height, jI, jR); createBMP(array, width, height); //rotate the Julia point float tmp = jI; jI = cosA * jI - sinA * jR; jR = cosA * jR + sinA * tmp; } delete[] array; return 0; } /** * calcDepth * finds the escape value of the Julia set * inputs sR, sI: starting position on the map * jR, jI: values of the julia set * exits when |s| > 2 or reached MAXCYCLES * return the escape value or MAXCYCLES */ int calcDepth(float sR, float sI, const float jR, const float jI){ int cycle = 0; while(sR * sR + sI * sI <= 4 && ++cycle < MAXCYCLES){ // s(next) = s * s + j float tmp = sR; sR = sR * sR - sI * sI + jR; sI = 2 * tmp * sI + jI; } return cycle; } /** * calcJulia * Function to calculate the values from (-1.5, 1.5),(-1, 1) in the Julia set * saves the values onto the array */ void calcJulia(int * array, int width, int height, const float jR, const float jI){ float delta = 2 / (float)height; float x, y = -1; for(int i = 0; i < height; i++){ x = -1.5f; for(int j = 0; j < width; j++){ *array++ = calcDepth(x, y, jR, jI); x+=delta; } y += delta; } } struct Pix { float val; int r, g, b; Pix(float val, int r, int g, int b) : val(val), r(r), g(g), b(b) {} }; bool lerp(float clr, Pix& first, Pix& second, Bitmap & map); /** * createBMP * maps the values in the array to a .bmp file * linear interpolates between color values */ void createBMP(int * array, int width, int height){ static int idx = 0; char name[] = "julia000.bmp"; name[5] = (idx / 100) + '0'; name[6] = ((idx / 10) % 10) + '0'; name[7] = (idx % 10) + '0'; Bitmap map (name, width, height); //idx++; const int pix = width * height; struct Pix clr0(0, 20, 20, 30), clr1(10, 20, 10, 100), clr2(180, 20, 170, 205), clr3(MAXCYCLES, 0, 0, 0); const int * pMax = array + width * height; while(array < pMax){ float clr = *array++; bool draw = lerp(clr, clr0, clr1, map) || lerp(clr, clr1, clr2, map) || lerp(clr, clr2, clr3, map); } } /** * Function to linearly interpolate color values and draw to the Bitmap */ bool lerp(float clr, Pix& first, Pix& second, Bitmap & map){ if(clr <= second.val){ float diff = (clr - first.val) / (second.val - first.val); map.addColor( first.b + diff * (second.b - first.b), first.g + diff * (second.g - first.g), first.r + diff * (second.r - first.r) ); return true; } return false; }

To view the full c++ code github link

 This code is tested using the parameters 
 Range R(-1.5, 1.5) I(-1, 1)
 MAXCYCLES 1000
 Julia values = .72 * e^(i*θ): θ[0, 2π] : 100 intervals

Flat Profiles

Width: 750 Height: 500 Flat profile: Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls ns/call ns/call name 96.00 20.87 20.87 calcJulia(int*, int, int, float, float) 2.08 21.32 0.45 37500000 12.04 12.04 Bitmap::addColor(int, int, int) 1.75 21.70 0.38 49447183 7.71 16.84 lerp(float, Pix&, Pix&, Bitmap&) 0.46 21.80 0.10 createBMP(int*, int, int) 0.00 21.80 0.00 100 0.00 0.00 generateBitmapImage(unsigned char*, int, int, char const*) 0.00 21.80 0.00 100 0.00 0.00 createBitmapFileHeader(int, int, int) 0.00 21.80 0.00 100 0.00 0.00 createBitmapInfoHeader(int, int) 0.00 21.80 0.00 100 0.00 0.00 Bitmap::Bitmap(char const*, int, int) 0.00 21.80 0.00 100 0.00 0.00 Bitmap::~Bitmap() 0.00 21.80 0.00 1 0.00 0.00 _GLOBAL__sub_I_main Width: 1500 Height: 1000 Flat profile: Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls us/call us/call name 97.05 84.67 84.67 calcJulia(int*, int, int, float, float) 1.66 86.12 1.45 150000000 0.01 0.01 Bitmap::addColor(int, int, int) 1.12 87.09 0.97 197791886 0.00 0.01 lerp(float, Pix&, Pix&, Bitmap&) 0.37 87.41 0.32 createBMP(int*, int, int) 0.01 87.42 0.01 100 50.17 50.17 Bitmap::Bitmap(char const*, int, int) 0.00 87.42 0.00 100 0.00 0.00 generateBitmapImage(unsigned char*, int, int, char const*) 0.00 87.42 0.00 100 0.00 0.00 createBitmapFileHeader(int, int, int) 0.00 87.42 0.00 100 0.00 0.00 createBitmapInfoHeader(int, int) 0.00 87.42 0.00 100 0.00 0.00 Bitmap::~Bitmap() 0.00 87.42 0.00 1 0.00 0.00 _GLOBAL__sub_I_main Width: 2250 Height: 1500 Flat profile: Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls us/call us/call name 96.39 189.55 189.55 calcJulia(int*, int, int, float, float) 1.89 193.27 3.72 337500000 0.01 0.01 Bitmap::addColor(int, int, int) 1.49 196.20 2.93 445028641 0.01 0.01 lerp(float, Pix&, Pix&, Bitmap&) 0.45 197.09 0.89 createBMP(int*, int, int) 0.01 197.11 0.02 100 150.51 150.51 Bitmap::Bitmap(char const*, int, int) 0.00 197.11 0.00 100 0.00 0.00 generateBitmapImage(unsigned char*, int, int, char const*) 0.00 197.11 0.00 100 0.00 0.00 createBitmapFileHeader(int, int, int) 0.00 197.11 0.00 100 0.00 0.00 createBitmapInfoHeader(int, int) 0.00 197.11 0.00 100 0.00 0.00 Bitmap::~Bitmap() 0.00 197.11 0.00 1 0.00 0.00 _GLOBAL__sub_I_main Width: 3000 Height: 2000 Flat profile: Each sample counts as 0.01 seconds.  % cumulative self self total time seconds seconds calls us/call us/call name 95.74 332.96 332.96 calcJulia(int*, int, int, float, float) 2.79 342.68 9.72 600000000 0.02 0.02 Bitmap::addColor(int, int, int) 1.28 347.14 4.46 791167185 0.01 0.02 lerp(float, Pix&, Pix&, Bitmap&) 0.44 348.66 1.52 createBMP(int*, int, int) 0.01 348.69 0.03 100 250.84 250.84 Bitmap::Bitmap(char const*, int, int) 0.00 348.69 0.00 100 0.00 0.00 generateBitmapImage(unsigned char*, int, int, char const*) 0.00 348.69 0.00 100 0.00 0.00 createBitmapFileHeader(int, int, int) 0.00 348.69 0.00 100 0.00 0.00 createBitmapInfoHeader(int, int) 0.00 348.69 0.00 100 0.00 0.00 Bitmap::~Bitmap() 0.00 348.69 0.00 1 0.00 0.00 _GLOBAL__sub_I_main

Call Graphs

Width: 750 Height: 500 Call graph granularity: each sample hit covers 2 byte(s) for 0.05% of 21.80 seconds index % time self children called name <spontaneous> [1] 96.0 20.93 0.00 calcJulia(int*, int, int, float, float) [1] ----------------------------------------------- <spontaneous> [2] 4.0 0.14 0.73 createBMP(int*, int, int) [2] 0.33 0.40 49447183/49447183 lerp(float, Pix&, Pix&, Bitmap&) [3] 0.00 0.00 100/100 Bitmap::Bitmap(char const*, int, int) [15] 0.00 0.00 100/100 Bitmap::~Bitmap() [16] ----------------------------------------------- 0.33 0.40 49447183/49447183 createBMP(int*, int, int) [2] [3] 3.4 0.33 0.40 49447183 lerp(float, Pix&, Pix&, Bitmap&) [3] 0.40 0.00 37500000/37500000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 0.40 0.00 37500000/37500000 lerp(float, Pix&, Pix&, Bitmap&) [3] [4] 1.8 0.40 0.00 37500000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 0.00 0.00 100/100 Bitmap::~Bitmap() [16] [12] 0.0 0.00 0.00 100 generateBitmapImage(unsigned char*, int, int, char const*)[12] 0.00 0.00 100/100 createBitmapFileHeader(int, int, int) [13] 0.00 0.00 100/100 createBitmapInfoHeader(int, int) [14] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [12] [13] 0.0 0.00 0.00 100 createBitmapFileHeader(int, int, int) [13] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [12] [14] 0.0 0.00 0.00 100 createBitmapInfoHeader(int, int) [14] ----------------------------------------------- 0.00 0.00 100/100 createBMP(int*, int, int) [2] [15] 0.0 0.00 0.00 100 Bitmap::Bitmap(char const*, int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 createBMP(int*, int, int) [2] [16] 0.0 0.00 0.00 100 Bitmap::~Bitmap() [16] 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [12] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [25] [17] 0.0 0.00 0.00 1 _GLOBAL__sub_I_main [17] ----------------------------------------------- Index by function name [17] _GLOBAL__sub_I_main (julia.cpp) [3] lerp(float, Pix&, Pix&, Bitmap&) [15] Bitmap::Bitmap(char const*, int, int) [12] generateBitmapImage(unsigned char*, int, int, char const*) [1] calcJulia(int*, int, int, float, float) [16] Bitmap::~Bitmap() [13] createBitmapFileHeader(int, int, int) [2] createBMP(int*, int, int) [14] createBitmapInfoHeader(int, int) [4] Bitmap::addColor(int, int, int) Width: 1500 Height: 1000 Call graph granularity: each sample hit covers 2 byte(s) for 0.01% of 87.23 seconds index % time self children called name <spontaneous> [1] 96.0 83.70 0.00 calcJulia(int*, int, int, float, float) [1] ----------------------------------------------- <spontaneous> [2] 4.0 0.37 3.16 createBMP(int*, int, int) [2] 1.39 1.76 197791886/197791886 lerp(float, Pix&, Pix&, Bitmap&) [3] 0.01 0.00 100/100 Bitmap::Bitmap(char const*, int, int) [5] 0.00 0.00 100/100 Bitmap::~Bitmap() [16] ----------------------------------------------- 1.39 1.76 197791886/197791886 createBMP(int*, int, int) [2] [3] 3.6 1.39 1.76 197791886 lerp(float, Pix&, Pix&, Bitmap&) [3] 1.76 0.00 150000000/150000000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 1.76 0.00 150000000/150000000 lerp(float, Pix&, Pix&, Bitmap&) [3] [4] 2.0 1.76 0.00 150000000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 0.01 0.00 100/100 createBMP(int*, int, int) [2] [5] 0.0 0.01 0.00 100 Bitmap::Bitmap(char const*, int, int) [5] ----------------------------------------------- 0.00 0.00 100/100 Bitmap::~Bitmap() [16] [13] 0.0 0.00 0.00 100 generateBitmapImage(unsigned char*, int, int, char const*) [13] 0.00 0.00 100/100 createBitmapFileHeader(int, int, int) [14] 0.00 0.00 100/100 createBitmapInfoHeader(int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] [14] 0.0 0.00 0.00 100 createBitmapFileHeader(int, int, int) [14] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] [15] 0.0 0.00 0.00 100 createBitmapInfoHeader(int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 createBMP(int*, int, int) [2] [16] 0.0 0.00 0.00 100 Bitmap::~Bitmap() [16] 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [25] [17] 0.0 0.00 0.00 1 _GLOBAL__sub_I_main [17] ----------------------------------------------- Index by function name [17] _GLOBAL__sub_I_main (julia.cpp) [3] lerp(float, Pix&, Pix&, Bitmap&) [5] Bitmap::Bitmap(char const*, int, int) [13] generateBitmapImage(unsigned char*, int, int, char const*) [1] calcJulia(int*, int, int, float, float) [16] Bitmap::~Bitmap() [14] createBitmapFileHeader(int, int, int) [2] createBMP(int*, int, int) [15] createBitmapInfoHeader(int, int) [4] Bitmap::addColor(int, int, int) Width: 2250 Height: 1500 Call graph granularity: each sample hit covers 2 byte(s) for 0.01% of 196.08 seconds index % time self children called name <spontaneous> [1] 96.0 188.22 0.00 calcJulia(int*, int, int, float, float) [1] ----------------------------------------------- <spontaneous> [2] 4.0 0.95 6.91 createBMP(int*, int, int) [2] 2.78 4.12 445028641/445028641 lerp(float, Pix&, Pix&, Bitmap&) [3] 0.00 0.01 100/100 Bitmap::~Bitmap() [6] 0.01 0.00 100/100 Bitmap::Bitmap(char const*, int, int) [7] ----------------------------------------------- 2.78 4.12 445028641/445028641 createBMP(int*, int, int) [2] [3] 3.5 2.78 4.12 445028641 lerp(float, Pix&, Pix&, Bitmap&) [3] 4.12 0.00 337500000/337500000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 4.12 0.00 337500000/337500000 lerp(float, Pix&, Pix&, Bitmap&) [3] [4] 2.1 4.12 0.00 337500000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 0.01 0.00 100/100 Bitmap::~Bitmap() [6] [5] 0.0 0.01 0.00 100 generateBitmapImage(unsigned char*, int, int, char const*) [5] 0.00 0.00 100/100 createBitmapFileHeader(int, int, int) [15] 0.00 0.00 100/100 createBitmapInfoHeader(int, int) [16] ----------------------------------------------- 0.00 0.01 100/100 createBMP(int*, int, int) [2] [6] 0.0 0.00 0.01 100 Bitmap::~Bitmap() [6] 0.01 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [5] ----------------------------------------------- 0.01 0.00 100/100 createBMP(int*, int, int) [2] [7] 0.0 0.01 0.00 100 Bitmap::Bitmap(char const*, int, int) [7] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [5] [15] 0.0 0.00 0.00 100 createBitmapFileHeader(int, int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [5] [16] 0.0 0.00 0.00 100 createBitmapInfoHeader(int, int) [16] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [25] [17] 0.0 0.00 0.00 1 _GLOBAL__sub_I_main [17] ----------------------------------------------- Index by function name [17] _GLOBAL__sub_I_main (julia.cpp) [3] lerp(float, Pix&, Pix&, Bitmap&) [7] Bitmap::Bitmap(char const*, int, int) [5] generateBitmapImage(unsigned char*, int, int, char const*) [1] calcJulia(int*, int, int, float, float) [6] Bitmap::~Bitmap() [15] createBitmapFileHeader(int, int, int) [2] createBMP(int*, int, int) [16] createBitmapInfoHeader(int, int) [4] Bitmap::addColor(int, int, int) Width: 3000 Height: 2000 Call graph granularity: each sample hit covers 2 byte(s) for 0.00% of 347.05 seconds index % time self children called name <spontaneous> [1] 96.1 333.37 0.00 calcJulia(int*, int, int, float, float) [1] ----------------------------------------------- <spontaneous> [2] 3.9 1.21 12.47 createBMP(int*, int, int) [2] 5.74 6.73 791167185/791167185 lerp(float, Pix&, Pix&, Bitmap&) [3] 0.01 0.00 100/100 Bitmap::Bitmap(char const*, int, int) [5] 0.00 0.00 100/100 Bitmap::~Bitmap() [16] ----------------------------------------------- 5.74 6.73 791167185/791167185 createBMP(int*, int, int) [2] [3] 3.6 5.74 6.73 791167185 lerp(float, Pix&, Pix&, Bitmap&) [3] 6.73 0.00 600000000/600000000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 6.73 0.00 600000000/600000000 lerp(float, Pix&, Pix&, Bitmap&) [3] [4] 1.9 6.73 0.00 600000000 Bitmap::addColor(int, int, int) [4] ----------------------------------------------- 0.01 0.00 100/100 createBMP(int*, int, int) [2] [5] 0.0 0.01 0.00 100 Bitmap::Bitmap(char const*, int, int) [5] ----------------------------------------------- 0.00 0.00 100/100 Bitmap::~Bitmap() [16] [13] 0.0 0.00 0.00 100 generateBitmapImage(unsigned char*, int, int, char const*) [13] 0.00 0.00 100/100 createBitmapFileHeader(int, int, int) [14] 0.00 0.00 100/100 createBitmapInfoHeader(int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] [14] 0.0 0.00 0.00 100 createBitmapFileHeader(int, int, int) [14] ----------------------------------------------- 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] [15] 0.0 0.00 0.00 100 createBitmapInfoHeader(int, int) [15] ----------------------------------------------- 0.00 0.00 100/100 createBMP(int*, int, int) [2] [16] 0.0 0.00 0.00 100 Bitmap::~Bitmap() [16] 0.00 0.00 100/100 generateBitmapImage(unsigned char*, int, int, char const*) [13] ----------------------------------------------- 0.00 0.00 1/1 __libc_csu_init [25] [17] 0.0 0.00 0.00 1 _GLOBAL__sub_I_main [17] ----------------------------------------------- Index by function name [17] _GLOBAL__sub_I_main (julia.cpp) [3] lerp(float, Pix&, Pix&, Bitmap&) [5] Bitmap::Bitmap(char const*, int, int) [13] generateBitmapImage(unsigned char*, int, int, char const*) [1] calcJulia(int*, int, int, float, float) [16] Bitmap::~Bitmap() [14] createBitmapFileHeader(int, int, int) [2] createBMP(int*, int, int) [15] createBitmapInfoHeader(int, int) [4] Bitmap::addColor(int, int, int)

Generated Image of Julia set at (-0.4, 0.6)

This problem would be fairly simple to parallelize. In the image created by Julia sets each pixel is independent of the others. This problem involves Complex numbers, but that can be simply represented by using two arrays, or pairs of floats.

Assignment 1: Selection for parallelizing

After reviewing the three programs above, we decided to attempt to parallelize the Sudoku Solver Program for a few reasons.

1.  By increasing the dimensions of the smaller matrices that make up a sudoku by one, we see a major increase in the time it takes to solve the sudoku, from almost instantly to around 38 seconds, and then to 36 minutes. With a 25x25 sudoku (of 5x5 matrices), several functions were called over 100 million times. 

2. Based on the massive time increases and similarity to the Hamiltonian Path Problem [2] which also uses backtracking to find a solution, we believe the run time of the sudoku solver to have a Big O notation that approaches O(n!) where 'n' is the number of blank spaces in the sudoku as the sudoku solver uses recursion to check every single possible solution, returning to previous steps if the tried solution does not work. O(n!) is an even worse runtime than O(n^2).

3.  The Julia sets still took less than 6 minutes after increasing the image size, and the EasyBMP only took a few seconds to convert a large, high resolution image.  Therefore, the Sudoku Solver had the greatest amount of time to be shaven off through optimization and thus offered the most challenge.

Assignment 2

Code for Solving a Sudoku using backtracking

#include <stdio.h> #include <iostream> #include <cstdlib> #include <ctime> #include <iomanip> // CUDA header file #include "cuda_runtime.h" #include "device_launch_parameters.h" // A Backtracking program in C++ to solve Sudoku problem #include <stdio.h> // UNASSIGNED is used for empty cells in sudoku grid #define UNASSIGNED 0 // N is used for the size of Sudoku grid. Size will be NxN #define BOXWIDTH 3 #define N 9 // This function finds an entry in grid that is still unassigned bool FindUnassignedLocation(int grid[N][N], int &row, int &col); // Checks whether it will be legal to assign num to the given row, col __global__ void makeGuess(int* d_a, int guess, int row, int col) { __shared__ bool found; bool control = !(threadIdx.x || threadIdx.y); int tidx = 0; if (threadIdx.y == 2) { //BOXES tidx = (((row / BOXWIDTH) * BOXWIDTH) + threadIdx.x / BOXWIDTH) * N + threadIdx.x % BOXWIDTH + (col / BOXWIDTH) * BOXWIDTH; } else if (threadIdx.y == 1) { //ROWS tidx = row * N + threadIdx.x; } else { //COLUMNS tidx = threadIdx.x * N + col; } if (control) found = true; __syncthreads(); while (found) { __syncthreads(); if (control) found = false; __syncthreads(); if (d_a[tidx] == ++guess) found = true; __syncthreads(); } if (control) d_a[row * N + col] = guess; } /* Takes a partially filled-in grid and attempts to assign values to all unassigned locations in such a way to meet the requirements for Sudoku solution (non-duplication across rows, columns, and boxes) */ bool SolveSudoku(int grid[N][N], int* d_a, int row, int col) { // If there is no unassigned location, we are done if (!FindUnassignedLocation(grid, row, col)) return true; // success! dim3 block(N, 3); int guess = 0; while (guess <= N) { makeGuess << <1, block >> > (d_a, guess, row, col); cudaMemcpy(&guess, d_a + row * N + col, sizeof(int), cudaMemcpyDeviceToHost); if (guess <= N && SolveSudoku(grid, d_a, row, col + 1)) return true; } //Erase the guess on the host int zero = UNASSIGNED; cudaMemcpy(d_a + row * N + col, &zero, sizeof(int), cudaMemcpyHostToDevice); return false; // this triggers backtracking } /* Searches the grid to find an entry that is still unassigned. If found, the reference parameters row, col will be set the location that is unassigned, and true is returned. If no unassigned entries remain, false is returned. */ bool FindUnassignedLocation(int grid[N][N], int &row, int &col) { for (; row < N; ++row) { for (; col < N; ++col) if (grid[row][col] == UNASSIGNED) return true; col = 0; } return false; } /* A utility function to print grid */ void printGrid(int grid[N][N]) { for (int row = 0; row < N; row++){ for (int col = 0; col < N; col++) printf("%2d", grid[row][col]); printf("\n"); } } /* Driver Program to test above functions */ int main() { /* 0 means unassigned cells */ int grid[N][N] = {{3, 0, 6, 5, 0, 8, 4, 0, 0}, {5, 2, 0, 0, 0, 0, 0, 0, 0}, {0, 8, 7, 0, 0, 0, 0, 3, 1}, {0, 0, 3, 0, 1, 0, 0, 8, 0}, {9, 0, 0, 8, 6, 3, 0, 0, 5}, {0, 5, 0, 0, 9, 0, 6, 0, 0}, {1, 3, 0, 0, 0, 0, 2, 5, 0}, {0, 0, 0, 0, 0, 0, 0, 7, 4}, {0, 0, 5, 2, 0, 6, 3, 0, 0} }; /** int grid[N][N] = {{0, 8, 0, 0, 0, 0, 0, 3, 0, 0, 0, 10, 9, 7, 11, 0}, {0, 9, 15, 13, 0, 10, 0, 0, 2, 6, 8, 16, 0, 0, 0, 0}, {0, 0, 16, 0, 15, 0, 8, 0, 9, 0, 0, 0, 6, 0, 2, 0}, {1, 0, 2, 0, 9, 11, 4, 6, 15, 3, 5, 7, 0, 0, 12, 0}, {16, 6, 4, 0, 5, 2, 0, 0, 1, 0, 0, 0, 11, 0, 0, 12}, {5, 11, 0, 0, 0, 3, 0, 15, 0, 16, 0, 13, 0, 1, 0, 8}, {0, 0, 3, 0, 0, 6, 11, 14, 0, 5, 7, 0, 0, 9, 0, 0}, {0, 0, 0, 14, 8, 0, 10, 0, 0, 11, 12, 0, 0, 0, 0, 0}, {0, 7, 13, 0, 0, 0, 0, 12, 0, 8, 9, 0, 0, 0, 3, 0}, {0, 0, 11, 9, 0, 7, 0, 0, 0, 0, 0, 12, 0, 8, 16, 5}, {0, 0, 10, 0, 11, 13, 0, 0, 0, 0, 0, 3, 12, 0, 6, 0}, {0, 5, 0, 0, 10, 15, 0, 1, 7, 2, 0, 0, 14, 11, 0, 0}, {0, 0, 5, 0, 0, 12, 14, 0, 0, 10, 0, 0, 15, 0, 0, 4}, {9, 0, 14, 6, 0, 0, 1, 0, 16, 0, 2, 0, 3, 0, 13, 0}, {8, 13, 0, 4, 0, 0, 0, 0, 12, 7, 3, 0, 0, 6, 0, 0}, {0, 16, 12, 0, 0, 5, 0, 9, 0, 13, 14, 4, 1, 0, 0, 0} }; /**/ int* d_a; cudaMalloc((void**)&d_a, N*N * sizeof(int)); cudaMemcpy(d_a, grid, N*N * sizeof(int), cudaMemcpyHostToDevice); SolveSudoku(grid, d_a, 0, 0); cudaMemcpy(grid, d_a, N*N * sizeof(int), cudaMemcpyDeviceToHost); printGrid(grid); cudaFree(d_a); return 0; }

This code is capable of solving the 9x9 matrix supplied HOWEVER with the backtracking algorithm substituting values and the communications delay between the GPU and CPU, This code is unable to solve the 16x16 in any reasonable amount of time (I stopped it at 10+ minutes). If you consider the 130+ empty spaces in the grid I estimate over 130^2 calls to cudaMemcpy either way...

So we need an algorithm which will check each open spot, calculate all possible values which can fit there, and assign single values. We can also check each section (Box, row, col) for values which can only go in one place

Attempt One...

/** * Vincent Terpstra * Sudoku.cu * March 18 / 2019 * An Optimistic approach to solving a Sudoku on a CUDA enabled GPU * Assumes that the puzzle is deterministic(single solvable solution) * AND each next step can be found with the kernel * KERNEL: educatedGuess * searches each square in a box for * squares that have only a single appropiate value * OR values that (in the box) can only fit in one square */ #include <stdio.h> #include <iostream> #include <cstdlib> #include <ctime> #include <iomanip> // CUDA header file #include "cuda_runtime.h" #include <device_launch_parameters.h> #ifndef __CUDACC__ #define __CUDACC__ #endif #include <device_functions.h> #include <stdio.h> // UNASSIGNED is used for empty cells in sudoku grid #define UNASSIGNED 0 // N is used for the size of Sudoku grid. Size will be NxN #define BOXWIDTH 5 #define N (BOXWIDTH * BOXWIDTH) /* * kernel to solve a sudoku * Input: sudoku puzzle partitioned into boxes * * d_a = the sudoku puzzle * figures out what values can fit in each square * figures out how many spots each value can go * assigns the appropiate values, * saves to addedIdx to show that there is a change */ __global__ void educatedGuess(int * d_a, int * addedIdx) { int idx = threadIdx.x + BOXWIDTH * threadIdx.y; int gridX = threadIdx.x + BOXWIDTH * blockIdx.x; int gridY = threadIdx.y + BOXWIDTH * blockIdx.y; int gridIdx = gridX + N * gridY; __shared__ bool hasValue[N]; //If the value occurs in the box __shared__ int inBox[N]; //Number of places each integer can go in the box hasValue[idx] = false; inBox[idx] = 0; __syncthreads(); int at = d_a[gridIdx]; if (at != 0) hasValue[at - 1] = true; __syncthreads(); if (at != 0) return; //For remembering which values were seen in the rows and columns bool foundVal[N]; for (int i = 0; i < N; ++i) foundVal[i] = hasValue[i]; for (int check = 0; check < N; check++) { foundVal[d_a[N * check + gridX] - 1] = true; foundVal[d_a[N * gridY + check] - 1] = true; } int fndVals = 0; for( int i = 0; i < N; ++i) if (!foundVal[i]) { fndVals++; at = i + 1; } if (fndVals == 1) { //Only one possible value for this index d_a[gridIdx] = at; //assign value addedIdx[0] = gridIdx; //to tell host that the table has changed inBox[at - 1] = 4; //Prevent one index per value } __syncthreads(); //Calculate the number of places each integer can go in the box for (int i = 0; i < N; ++i) { int num = (idx + i) % N; //keep each thread on a seperate idx if (!foundVal[num]) inBox[num]++; __syncthreads(); } for (int i = 0; i < N; ++i) { //if there is only one possible index for that value assign the value if (inBox[i] == 1 && !foundVal[i]) { d_a[gridIdx] = i + 1; //assign value addedIdx[0] = gridIdx; //to tell host that the table has changed } } } /* Solves the Sudoku, with best values */ void SolveSudoku(int grid[N][N], int* d_a, int* d_results) { dim3 block(BOXWIDTH, BOXWIDTH); int lastIdx(-1), nextIdx(-1); do { lastIdx = nextIdx; educatedGuess << <block, block >> > (d_a, d_results); cudaMemcpy(&nextIdx, d_results, sizeof(int), cudaMemcpyDeviceToHost); } while (lastIdx != nextIdx); } /* A utility function to print grid */ void printGrid(int grid[N][N]) { for (int row = 0; row < N; row++) { for (int col = 0; col < N; col++) printf("%3d", grid[row][col]); printf("\n"); } } /* Driver Program to test above functions */ int main() { /* 0 means unassigned cells * int grid[N][N] = { {3, 0, 6, 5, 0, 8, 4, 0, 0}, {5, 2, 0, 0, 0, 0, 0, 0, 0}, {0, 8, 7, 0, 0, 0, 0, 3, 1}, {0, 0, 3, 0, 1, 0, 0, 8, 0}, {9, 0, 0, 8, 6, 3, 0, 0, 5}, {0, 5, 0, 0, 9, 0, 6, 0, 0}, {1, 3, 0, 0, 0, 0, 2, 5, 0}, {0, 0, 0, 0, 0, 0, 0, 7, 4}, {0, 0, 5, 2, 0, 6, 3, 0, 0} }; /** int grid[N][N] = {{0, 8, 0, 0, 0, 0, 0, 3, 0, 0, 0, 10, 9, 7, 11, 0}, {0, 9, 15, 13, 0, 10, 0, 0, 2, 6, 8, 16, 0, 0, 0, 0}, {0, 0, 16, 0, 15, 0, 8, 0, 9, 0, 0, 0, 6, 0, 2, 0}, {1, 0, 2, 0, 9, 11, 4, 6, 15, 3, 5, 7, 0, 0, 12, 0}, {16, 6, 4, 0, 5, 2, 0, 0, 1, 0, 0, 0, 11, 0, 0, 12}, {5, 11, 0, 0, 0, 3, 0, 15, 0, 16, 0, 13, 0, 1, 0, 8}, {0, 0, 3, 0, 0, 6, 11, 14, 0, 5, 7, 0, 0, 9, 0, 0}, {0, 0, 0, 14, 8, 0, 10, 0, 0, 11, 12, 0, 0, 0, 0, 0}, {0, 7, 13, 0, 0, 0, 0, 12, 0, 8, 9, 0, 0, 0, 3, 0}, {0, 0, 11, 9, 0, 7, 0, 0, 0, 0, 0, 12, 0, 8, 16, 5}, {0, 0, 10, 0, 11, 13, 0, 0, 0, 0, 0, 3, 12, 0, 6, 0}, {0, 5, 0, 0, 10, 15, 0, 1, 7, 2, 0, 0, 14, 11, 0, 0}, {0, 0, 5, 0, 0, 12, 14, 0, 0, 10, 0, 0, 15, 0, 0, 4}, {9, 0, 14, 6, 0, 0, 1, 0, 16, 0, 2, 0, 3, 0, 13, 0}, {8, 13, 0, 4, 0, 0, 0, 0, 12, 7, 3, 0, 0, 6, 0, 0}, {0, 16, 12, 0, 0, 5, 0, 9, 0, 13, 14, 4, 1, 0, 0, 0} }; /**/ int grid[N][N] = { {1, 0, 4, 0, 25, 0, 19, 0, 0, 10, 21, 8, 0, 14, 0, 6, 12, 9, 0, 0, 0, 0, 0, 0, 5},{5, 0, 19, 23, 24, 0, 22, 12, 0, 0, 16, 6, 0, 20, 0, 18, 0, 25, 14, 13, 10, 11, 0, 1, 15},{0, 0, 0, 0, 0, 0, 21, 5, 0, 20, 11, 10, 0, 1, 0, 4, 8, 24, 23, 15, 18, 0, 16, 22, 19}, {0, 7, 21, 8, 18, 0, 0, 0, 11, 0, 5, 0, 0, 24, 0, 0, 0, 17, 22, 1, 9, 6, 25, 0, 0}, {0, 13, 15, 0, 22, 14, 0, 18, 0, 16, 0, 0, 0, 4, 0, 0, 0, 19, 0, 0, 0, 24, 20, 21, 17}, {12, 0, 11, 0, 6, 0, 0, 0, 0, 15, 0, 0, 0, 0, 21, 25, 19, 0, 4, 0, 22, 14, 0, 20, 0}, {8, 0, 0, 21, 0, 16, 0, 0, 0, 2, 0, 3, 0, 0, 0, 0, 17, 23, 18, 22, 0, 0, 0, 24, 6}, {4, 0, 14, 18, 7, 9, 0, 22, 21, 19, 0, 0, 0, 2, 0, 5, 0, 0, 0, 6, 16, 15, 0, 11, 12}, {22, 0, 24, 0, 23, 0, 0, 11, 0, 7, 0, 0, 4, 0, 14, 0, 2, 12, 0, 8, 5, 19, 0, 25, 9}, {20, 0, 0, 0, 5, 0, 0, 0, 0, 17, 9, 0, 12, 18, 0, 1, 0, 0, 7, 24, 0, 0, 0, 13, 4}, {13, 0, 0, 5, 0, 2, 23, 14, 4, 18, 22, 0, 17, 0, 0, 20, 0, 1, 9, 21, 12, 0, 0, 8, 11}, {14, 23, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 20, 25, 0, 3, 4, 13, 0, 11, 21, 9, 5, 18, 22}, {7, 0, 0, 11, 17, 20, 24, 0, 0, 0, 3, 4, 1, 12, 0, 0, 6, 14, 0, 5, 25, 13, 0, 0, 0}, {0, 0, 16, 9, 0, 17, 11, 7, 10, 25, 0, 0, 0, 13, 6, 0, 0, 18, 0, 0, 19, 4, 0, 0, 20}, {6, 15, 0, 19, 4, 13, 0, 0, 5, 0, 18, 11, 0, 0, 9, 8, 22, 16, 25, 10, 7, 0, 0, 0, 0}, {0, 0, 0, 2, 0, 0, 10, 19, 3, 0, 1, 0, 22, 9, 4, 11, 15, 0, 20, 0, 0, 8, 23, 0, 25}, {0, 24, 8, 13, 1, 0, 0, 4, 20, 0, 17, 14, 0, 0, 18, 0, 16, 22, 5, 0, 11, 0, 10, 0, 0}, {23, 10, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 16, 0, 0, 17, 1, 0, 13, 0, 0, 3, 19, 12, 0}, {25, 5, 0, 14, 11, 0, 17, 0, 8, 24, 13, 0, 19, 23, 15, 9, 0, 0, 12, 0, 20, 0, 22, 0, 7}, {0, 0, 17, 4, 0, 22, 15, 0, 23, 11, 12, 25, 0, 0, 0, 0, 18, 8, 0, 7, 0, 0, 14, 0, 13}, {19, 6, 23, 22, 8, 0, 0, 1, 25, 4, 14, 2, 0, 3, 7, 13, 10, 11, 16, 0, 0, 0, 0, 0, 0}, {0, 4, 0, 17, 0, 3, 0, 24, 0, 8, 20, 23, 11, 10, 25, 22, 0, 0, 0, 12, 13, 2, 18, 6, 0}, {0, 0, 7, 16, 0, 0, 6, 17, 2, 21, 0, 18, 0, 0, 0, 19, 0, 0, 8, 0, 0, 0, 0, 4, 0}, {18, 9, 25, 1, 2, 11, 0, 0, 13, 22, 4, 0, 21, 0, 5, 0, 23, 7, 0, 0, 15, 0, 3, 0, 8}, {0, 21, 10, 0, 0, 12, 0, 20, 16, 0, 19, 0, 0, 0, 0, 15, 14, 4, 2, 18, 23, 25, 11, 7, 0} }; /**/ int* d_a; //Table int* d_result; //Table change indicator cudaMalloc((void**)&d_a, N*N * sizeof(int)); cudaMalloc((void**)&d_result, sizeof(int)); //Copy Sudoku over cudaMemcpy(d_a, grid, N*N * sizeof(int), cudaMemcpyHostToDevice); SolveSudoku(grid, d_a, d_result); //Copy Sudoku back cudaMemcpy(grid, d_a, N*N * sizeof(int), cudaMemcpyDeviceToHost); printGrid(grid); cudaFree(d_a); cudaFree(d_result); return 0; }

Single Pass Sudoku Solver

This Kernel was designed to run on a single block with dimensions N*N the size of the Sudoku
limiting us to a Sudoku of size 25 * 25
For each empty space, counts the number possible values which can fit and how many times each value can fit in that section
If only one value can fit or that value has only one place, assigns the value

__global__ void superSolve(int * d_a) {
 
    //Used to remember which row | col | box ( section ) have which values
    __shared__ bool rowHas[N][N];
    __shared__ bool colHas[N][N];
    __shared__ bool boxHas[N][N];
 
    //Used to ensure that the table has changed
    __shared__ int added, past;
 
    //Number of spaces which can place the number in each section
    __shared__ int rowCount[N][N];
    __shared__ int colCount[N][N];
    __shared__ int boxCount[N][N];
 
    //Where the square is located in the Sudoku
    int row = threadIdx.x;
    int col = threadIdx.y;
    int box = row / BOXWIDTH + (col / BOXWIDTH) * BOXWIDTH;
 
    //Unique identifier for each square in row, col, box
    //Corresponds to the generic Sudoku Solve
    //Using a Sudoku to solve a Sudoku !!!
    int offset = col + (row % BOXWIDTH) * BOXWIDTH + (box % BOXWIDTH);
 
    //Square's location in the Sudoku
    int gridIdx = col * N + row;
 
    int at = d_a[gridIdx];
 
    if (!gridIdx) { //Thread at 0,0 sets values
         added = -1;
         past = -2;
    }
 
    rowHas[col][row] = false;
    colHas[col][row] = false;
    boxHas[col][row] = false;
    __syncthreads();
 
    if (at != UNASSIGNED) {
         rowHas[row][at - 1] = true;
         colHas[col][at - 1] = true;
         boxHas[box][at - 1] = true;
    }
 
    //Previous loop has not changed any values
    while (added != past) {
         //RESET counters
         rowCount[col][row] = 0;
         colCount[col][row] = 0;
         boxCount[col][row] = 0;
         __syncthreads();
 
         if (!gridIdx) //forget previous change
              past = added;
         int count = 0;  //number of values which can fit in this square
         int guess = at; //last value found which can fit in this square
         for (int idx = 0; idx < N; ++idx) {
              //Ensures that every square in each section is working on a different number in the section
              int num = (idx + offset) % N;
              if (at == UNASSIGNED && !(rowHas[row][num] || colHas[col][num] || boxHas[box][num])) {
                   count++;
                   guess = num + 1;
                   rowCount[row][num] ++;
                   colCount[col][num] ++;
                   boxCount[box][num] ++;
              }
              __syncthreads();
         }
 
         //Only ONE value can fit in this spot
         if (count == 1) {
              at = guess--;
              d_a[gridIdx] = at;
              rowHas[row][guess] = true;
              colHas[col][guess] = true;
              boxHas[box][guess] = true;
              added = gridIdx;
         }
         __syncthreads();
 
         if (at == UNASSIGNED) {
              //Find values which can go in only one spot in the section
              for (int idx = 0; idx < N; ++idx) {
                   if (!(rowHas[row][idx] || colHas[col][idx] || boxHas[box][idx]) &&
                        (boxCount[box][idx] == 1 || rowCount[row][idx] == 1 || colCount[col][idx] == 1)) {
                     //In this section this value can only appear in this square
                     at = idx + 1;
                     d_a[gridIdx] = at;
                     rowHas[row][idx] = true;
                     colHas[col][idx] = true;
                     boxHas[box][idx] = true;
                     added = gridIdx;
                   }
              }
         }
         __syncthreads();
    }
}

Assignment 3

Changes:
Reduced Thread Divergence/CGMA
  -each thread now remembers which values it has seen in a boolean array
  - values are only assigned to the grid after the kernel 'solves' the sudoku
  - at value in kernel and shared memory for rowHas, colHas, boxHas, updated in a single place
Coalesced Memory
  - change modifying _Has and _Count arrays from row->col to col->row as row(threadIdx.x) is our fastest moving dimension
Clarified Code
  - use gridIdx == 0 rather then !gridIdx
  - use a do-while loop rather then a while loop

Full code

#include <stdio.h> // CUDA header file #include "cuda_runtime.h" #include <device_launch_parameters.h> #ifndef __CUDACC__ #define __CUDACC__ #endif // UNASSIGNED is used for empty cells in Sudoku grid #define UNASSIGNED 0 // BOX_W is used for the length of one of the square sub-regions of the Sudoku grid. // Overall length will be N * N. #define BOX_W 5 #define N (BOX_W * BOX_W) __global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section __shared__ int rowCount[N][N]; __shared__ int colCount[N][N]; __shared__ int boxCount[N][N]; // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int gridIdx = col * N + row; int at = d_a[gridIdx]; bool notSeen[N]; for (int i = 0; i < N; ++i) notSeen[i] = true; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; __syncthreads(); if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } // Previous loop has not changed any values do { // RESET counters rowCount[col][row] = 0; colCount[col][row] = 0; boxCount[col][row] = 0; __syncthreads(); if (gridIdx == 0) // forget previous change changed = false; int count = 0; // number of values which can fit in this square int guess = 0; // last value found which can fit in this square for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (at == UNASSIGNED && notSeen[num]) { if (rowHas[row][num] || boxHas[box][num] || colHas[col][num]) notSeen[num] = false; else { ++count; guess = num; rowCount[row][num]++; colCount[col][num]++; boxCount[box][num]++; } } __syncthreads(); } // Find values which can go in only one spot in the section for (int idx = 0; idx < N && count > 1; ++idx) { if (notSeen[idx] && (rowCount[row][idx] == 1 || boxCount[box][idx] == 1 || colCount[col][idx] == 1)) { // In this section this value can only appear in this square guess = idx; count = 1; } } if (count == 1) { at = guess + 1; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; changed = true; } __syncthreads(); } while (changed); //SOLVED CHECK if (!(rowHas[row][col] || colHas[row][col] || boxHas[row][col])) changed = true; __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; } void print(int result[N][N]) { for (int row = 0; row < N; row++) { for (int col = 0; col < N; col++) printf("%3d", result[row][col]); printf("\n"); } } // Driver program to test main program functions int main() { int h_a[N][N] = { { 1, 0, 4, 0, 25, 0, 19, 0, 0, 10, 21, 8, 0, 14, 0, 6, 12, 9, 0, 0, 0, 0, 0, 0, 5}, { 5, 0, 19, 23, 24, 0, 22, 12, 0, 0, 16, 6, 0, 20, 0, 18, 0, 25, 14, 13, 10, 11, 0, 1, 15}, { 0, 0, 0, 0, 0, 0, 21, 5, 0, 20, 11, 10, 0, 1, 0, 4, 8, 24, 23, 15, 18, 0, 16, 22, 19}, { 0, 7, 21, 8, 18, 0, 0, 0, 11, 0, 5, 0, 0, 24, 0, 0, 0, 17, 22, 1, 9, 6, 25, 0, 0}, { 0, 13, 15, 0, 22, 14, 0, 18, 0, 16, 0, 0, 0, 4, 0, 0, 0, 19, 0, 0, 0, 24, 20, 21, 17}, { 12, 0, 11, 0, 6, 0, 0, 0, 0, 15, 0, 0, 0, 0, 21, 25, 19, 0, 4, 0, 22, 14, 0, 20, 0}, { 8, 0, 0, 21, 0, 16, 0, 0, 0, 2, 0, 3, 0, 0, 0, 0, 17, 23, 18, 22, 0, 0, 0, 24, 6}, { 4, 0, 14, 18, 7, 9, 0, 22, 21, 19, 0, 0, 0, 2, 0, 5, 0, 0, 0, 6, 16, 15, 0, 11, 12}, { 22, 0, 24, 0, 23, 0, 0, 11, 0, 7, 0, 0, 4, 0, 14, 0, 2, 12, 0, 8, 5, 19, 0, 25, 9}, { 20, 0, 0, 0, 5, 0, 0, 0, 0, 17, 9, 0, 12, 18, 0, 1, 0, 0, 7, 24, 0, 0, 0, 13, 4}, { 13, 0, 0, 5, 0, 2, 23, 14, 4, 18, 22, 0, 17, 0, 0, 20, 0, 1, 9, 21, 12, 0, 0, 8, 11}, { 14, 23, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 20, 25, 0, 3, 4, 13, 0, 11, 21, 9, 5, 18, 22}, { 7, 0, 0, 11, 17, 20, 24, 0, 0, 0, 3, 4, 1, 12, 0, 0, 6, 14, 0, 5, 25, 13, 0, 0, 0}, { 0, 0, 16, 9, 0, 17, 11, 7, 10, 25, 0, 0, 0, 13, 6, 0, 0, 18, 0, 0, 19, 4, 0, 0, 20}, { 6, 15, 0, 19, 4, 13, 0, 0, 5, 0, 18, 11, 0, 0, 9, 8, 22, 16, 25, 10, 7, 0, 0, 0, 0}, { 0, 0, 0, 2, 0, 0, 10, 19, 3, 0, 1, 0, 22, 9, 4, 11, 15, 0, 20, 0, 0, 8, 23, 0, 25}, { 0, 24, 8, 13, 1, 0, 0, 4, 20, 0, 17, 14, 0, 0, 18, 0, 16, 22, 5, 0, 11, 0, 10, 0, 0}, { 23, 10, 0, 0, 0, 0, 0, 0, 18, 0, 6, 0, 16, 0, 0, 17, 1, 0, 13, 0, 0, 3, 19, 12, 0}, { 25, 5, 0, 14, 11, 0, 17, 0, 8, 24, 13, 0, 19, 23, 15, 9, 0, 0, 12, 0, 20, 0, 22, 0, 7}, { 0, 0, 17, 4, 0, 22, 15, 0, 23, 11, 12, 25, 0, 0, 0, 0, 18, 8, 0, 7, 0, 0, 14, 0, 13}, { 19, 6, 23, 22, 8, 0, 0, 1, 25, 4, 14, 2, 0, 3, 7, 13, 10, 11, 16, 0, 0, 0, 0, 0, 0}, { 0, 4, 0, 17, 0, 3, 0, 24, 0, 8, 20, 23, 11, 10, 25, 22, 0, 0, 0, 12, 13, 2, 18, 6, 0}, { 0, 0, 7, 16, 0, 0, 6, 17, 2, 21, 0, 18, 0, 0, 0, 19, 0, 0, 8, 0, 0, 0, 0, 4, 0}, { 18, 9, 25, 1, 2, 11, 0, 0, 13, 22, 4, 0, 21, 0, 5, 0, 23, 7, 0, 0, 15, 0, 3, 0, 8}, { 0, 21, 10, 0, 0, 12, 0, 20, 16, 0, 19, 0, 0, 0, 0, 15, 14, 4, 2, 18, 23, 25, 11, 7, 0} }; int* d_a; //Table cudaMalloc((void**)&d_a, N * N * sizeof(int)); // Copy Sudoku to device cudaMemcpy(d_a, h_a, N * N * sizeof(int), cudaMemcpyHostToDevice); dim3 dBlock(N, N); solve << <1, dBlock >> > (d_a); // Copy Sudoku back to host cudaMemcpy(h_a, d_a, N * N * sizeof(int), cudaMemcpyDeviceToHost); // Check if solved if (h_a[0][0]) print(h_a); else printf("No solution could be found."); cudaFree(d_a); return 0; }

Kernel Optimization Attempts

These Kernels change a minor part of the Optimized Kernel or use a slightly different algorithm in an attempt to make it faster

Change : Replaces the boolean array hasSeen with a single int & uses bitwise operators
Theory : Since local array variables of threads are stored in Global memory this was an attempt to move that into a register
Result : No speed up noticed, suggesting that more is happening beyond arrays stored in Global memory, perhaps some type of paging, 
         more testing would be needed on something less erratic then a Sudoku Solver 

Using a int as a boolean array

__global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section __shared__ int rowCount[N][N]; __shared__ int colCount[N][N]; __shared__ int boxCount[N][N]; // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; int gridIdx = col * N + row; int at = d_a[gridIdx]; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int notSeen = 0; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; __syncthreads(); if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } else { notSeen = ~0; } __syncthreads(); // Previous loop has not changed any values do { // RESET counters rowCount[col][row] = 0; colCount[col][row] = 0; boxCount[col][row] = 0; __syncthreads(); if (gridIdx == 0) // forget previous change changed = false; int count = 0; // number of values which can fit in this square int guess = 0; // last value found which can fit in this square int b_shuttle = 1; for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (b_shuttle & notSeen) { if (rowHas[row][num] || boxHas[box][num] || colHas[col][num]) notSeen ^= b_shuttle; else { ++count; guess = num; rowCount[row][num]++; colCount[col][num]++; boxCount[box][num]++; } } b_shuttle <<= 1; __syncthreads(); } // Find values which can go in only one spot in the section b_shuttle = 1; for (int idx = 0; idx < N && count > 1; ++idx) { int num = (idx + offset) % N; if ((b_shuttle & notSeen) && (rowCount[row][num] == 1 || boxCount[box][num] == 1 || colCount[col][num] == 1)) { // In this section this value can only appear in this square guess = num; count = 1; } b_shuttle <<= 1; } if (count == 1) { at = guess + 1; notSeen = 0; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; changed = true; } __syncthreads(); } while (changed); //SOLVED CHECK if (!(rowHas[row][col] || colHas[row][col] || boxHas[row][col])) changed = true; __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; }

Change : Remove the counters, and logic which checks for a section needing a value in one place
Theory : The counting logic requires a additional nested loop each solve cycle and created more thread divergence
Result : The algorithm is slower, probably because 'sections requiring a single value' adds more values early in the kernel resulting in less passes overall
         Also this kernel is similar to one of my earlier builds, which was unable to solve the 9x9 getting stuck on every square having more then one possible value

Dropping Section Logic

__global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int gridIdx = col * N + row; int at = d_a[gridIdx]; bool notSeen[N]; for (int i = 0; i < N; ++i) notSeen[i] = true; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; __syncthreads(); if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } // Previous loop has not changed any values do { // RESET counters __syncthreads(); if (gridIdx == 0) // forget previous change changed = false; int count = 0; // number of values which can fit in this square int guess = 0; // last value found which can fit in this square for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (at == UNASSIGNED && notSeen[num]) { if (rowHas[row][num] || boxHas[box][num] || colHas[col][num]) notSeen[num] = false; else { ++count; guess = num; } } __syncthreads(); } if (count == 1) { at = guess + 1; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; changed = true; } __syncthreads(); } while (changed); //SOLVED CHECK if (!(rowHas[row][col] || colHas[row][col] || boxHas[row][col])) changed = true; __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; }

Change : Quickly finds one section that requires a single value in one spot, by checking all sections at once and remembering a single section
Theory : Similar to the previous Kernel, trying to remove the second loop
Result : Surprisingly slow, gains little benefit from the section logic and shared memory, yet is still required to count all values

Notify - Determines a single section that has a limited value (removes section loop)

__global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section __shared__ int rowCount[N][N]; __shared__ int colCount[N][N]; __shared__ int boxCount[N][N]; // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int gridIdx = col * N + row; int at = d_a[gridIdx]; bool notSeen[N]; for (int i = 0; i < N; ++i) notSeen[i] = true; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; __syncthreads(); __shared__ int notify; if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } // Previous loop has not changed any values do { // RESET counters rowCount[col][row] = 0; colCount[col][row] = 0; boxCount[col][row] = 0; __syncthreads(); if (gridIdx == 0) { // forget previous change changed = false; notify = -1; } int count = 0; // number of values which can fit in this square int guess = 0; // last value found which can fit in this square for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (at == UNASSIGNED && notSeen[num]) { if (rowHas[row][num] || boxHas[box][num] || colHas[col][num]) notSeen[num] = false; else { ++count; guess = num; rowCount[row][num]++; colCount[col][num]++; boxCount[box][num]++; } } __syncthreads(); } if (rowCount[row][col] == 1 || colCount[row][col] == 1 || boxCount[row][col] == 1) notify = col; __syncthreads(); // Find values which can go in only one spot in the section if (notify > 0 && at == UNASSIGNED && notSeen[notify] && (rowCount[row][notify] == 1 || boxCount[box][notify] == 1 || colCount[col][notify] == 1)) { // In this section this value can only appear in this square guess = notify; count = 1; } if (count == 1) { at = guess + 1; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; changed = true; } __syncthreads(); } while (changed); //SOLVED CHECK if (!(rowHas[row][col] || colHas[row][col] || boxHas[row][col])) changed = true; __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; }

Change : Refactors the algorithm to count the total numbers that can fit in a square or section
         Then counts down as values are added
Theory : Remove redundant counting logic that occurred during the Optimized Kernel each pass
Result : Not faster, HOWEVER there is a slight error, by setting notSeen = 0, the section counters will rarely reach one

CountDown - using Int as Boolean Array(EDITED now 4.28 seconds)

__global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section __shared__ int rowCount[N][N]; __shared__ int colCount[N][N]; __shared__ int boxCount[N][N]; // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; int gridIdx = col * N + row; int at = d_a[gridIdx]; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int count = 0; //Number of values which can fit in this square int notSeen = 0; //Boolean Array as an Integer if (gridIdx == 0) changed = true; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; rowCount[col][row] = 0; colCount[col][row] = 0; boxCount[col][row] = 0; __syncthreads(); if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } __syncthreads(); int guess; int b_shuttle = 1; for (int idx = 0; idx < N; ++idx) { int num = (idx + offset) % N; if (at == UNASSIGNED && !(rowHas[row][num] || boxHas[box][num] || colHas[col][num])) { notSeen |= b_shuttle; //this value can go here ++count; //how many values this square can have guess = num; //how many values this section can have rowCount[row][num]++; colCount[col][num]++; boxCount[box][num]++; } __syncthreads(); b_shuttle <<= 1; } if (at == UNASSIGNED && count == 0) //NOT POSSIBLE SUDOKU changed = false; __syncthreads(); if (count == 1) { at = guess + 1; notSeen = count = 0; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; } // Previous loop has not changed any values while (changed) { __syncthreads(); if (gridIdx == 0) // forget previous change changed = false; int b_shuttle = 1; for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (b_shuttle & notSeen && (at != UNASSIGNED || rowHas[row][num] || boxHas[box][num] || colHas[col][num])) { rowCount[row][num]--; colCount[col][num]--; boxCount[box][num]--; notSeen ^= b_shuttle; --count; } __syncthreads(); if (b_shuttle & notSeen && (count == 1 || rowCount[row][num] == 1 || boxCount[box][num] == 1 || colCount[col][num] == 1)) { rowHas[row][num] = true; colHas[col][num] = true; boxHas[box][num] = true; changed = true; notSeen ^= b_shuttle; at = num + 1; count = 0; } b_shuttle <<= 1; } __syncthreads(); }; if (!(rowHas[row][col] && colHas[row][col] && boxHas[box][col])) changed = true; //HAVE NOT SOLVED the sudoku __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; }

Change : uses countdown logic with a boolean array
Result : Similar times to other Countdown kernel

Countdown Boolean Array (EDITED - now 4.37ms)

__global__ void solve(int* d_a) { // Used to remember which row | col | box ( section ) have which values __shared__ bool rowHas[N][N]; __shared__ bool colHas[N][N]; __shared__ bool boxHas[N][N]; // Used to ensure that the table has changed __shared__ bool changed; // Number of spaces which can place the number in each section __shared__ int rowCount[N][N]; __shared__ int colCount[N][N]; __shared__ int boxCount[N][N]; // Where the square is located in the Sudoku int row = threadIdx.x; int col = threadIdx.y; int box = row / BOX_W + (col / BOX_W) * BOX_W; int gridIdx = col * N + row; int at = d_a[gridIdx]; // Unique identifier for each square in row, col, box // Corresponds to the generic Sudoku Solve // Using a Sudoku to solve a Sudoku !!! int offset = col + (row % BOX_W) * BOX_W + (box % BOX_W); // Square's location in the Sudoku int count = 0; //Number of values which can fit in this square bool notSeen[N]; //Boolean Array as an Integer for(int idx = 0; idx < N; ++idx) notSeen[idx] = false; if (gridIdx == 0) changed = true; rowHas[col][row] = false; colHas[col][row] = false; boxHas[col][row] = false; rowCount[col][row] = 0; colCount[col][row] = 0; boxCount[col][row] = 0; __syncthreads(); if (at != UNASSIGNED) { rowHas[row][at - 1] = true; colHas[col][at - 1] = true; boxHas[box][at - 1] = true; } __syncthreads(); int guess; for (int idx = 0; idx < N; ++idx) { int num = (idx + offset) % N; if (at == UNASSIGNED && !(rowHas[row][num] || boxHas[box][num] || colHas[col][num])) { notSeen[num] = true; //this value can go here ++count; //how many values this square can have guess = num; //how many values this section can have rowCount[row][num]++; colCount[col][num]++; boxCount[box][num]++; } __syncthreads(); } if (at == UNASSIGNED && count == 0) //NOT POSSIBLE SUDOKU changed = false; __syncthreads(); if (count == 1) { at = guess + 1; count = 0; notSeen[guess] = false; rowHas[row][guess] = true; colHas[col][guess] = true; boxHas[box][guess] = true; } // Previous loop has not changed any values while (changed) { __syncthreads(); if (gridIdx == 0) // forget previous change changed = false; for (int idx = 0; idx < N; ++idx) { // Ensures that every square in each section is working on a different number in the section int num = (idx + offset) % N; if (notSeen[num] && (at != UNASSIGNED || rowHas[row][num] || boxHas[box][num] || colHas[col][num])) { rowCount[row][num]--; colCount[col][num]--; boxCount[box][num]--; notSeen[num] = false; --count; } __syncthreads(); if ( notSeen[num] && (count == 1 || rowCount[row][num] == 1 || boxCount[box][num] == 1 || colCount[col][num] == 1)) { rowHas[row][num] = true; colHas[col][num] = true; boxHas[box][num] = true; changed = true; notSeen[num] = false; at = num + 1; count = 0; } } __syncthreads(); }; if (!(rowHas[row][col] && colHas[row][col] && boxHas[box][col])) changed = true; //HAVE NOT SOLVED the sudoku __syncthreads(); if (changed && gridIdx == 0) at = 0; d_a[gridIdx] = at; }

Occupancy Calculations

For 9x9:

For 16x16:

For 25x25: