| [f220611] | 1 | /* Post-commit solution to matrixMultiplication, using CIVL.
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| 2 | * Stephen Siegel
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| 3 | */
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| 4 |
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| 5 | #include <stdio.h>
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| 6 | #include <pointer.cvh>
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| 7 |
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| 8 | // upper bound on N, the size of the matrices
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| 9 | $input int BOUND = 8; // can go up to 16 if you have a few minutes
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| 10 | $assume(BOUND >= 1);
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| 11 | $input int N; // the size of the matrices
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| 12 | $assume(1<=N && N<=BOUND);
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| 13 | // some arbitrary input matrices...
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| 14 | $input float A0[N][N];
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| 15 | $input float B0[N][N];
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| 16 |
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| 17 | // the "leaf size" for Strassen...
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| 18 | $input int LEAF_SIZE;
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| 19 | $assume (1 <= LEAF_SIZE && LEAF_SIZE <= N);
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| 20 |
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| 21 | // impl: C is "out" variable
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| 22 | void matrixMultiply(int n, float C[][], float A[][], float B[][]) {
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| 23 | for (int i=0; i<n; i++)
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| 24 | for (int j=0; j<n; j++)
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| 25 | C[i][j] = 0.0;
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| 26 |
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| 27 | for (int i = 0; i < n; i++) {
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| 28 | for (int k = 0; k < n; k++) {
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| 29 | for (int j = 0; j < n; j++) {
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| 30 | C[i][j] += A[i][k] * B[k][j];
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| 31 | }
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| 32 | }
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| 33 | }
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| 34 | }
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| 35 |
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| 36 | /* Part 3 : Strassen */
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| 37 |
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| 38 | // adds two nxn matrices. C is "out" variable.
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| 39 | void add(int n, float C[][], float A[][], float B[][]) {
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| 40 | for (int i = 0; i < n; i++)
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| 41 | for (int j = 0; j < n; j++)
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| 42 | C[i][j] = A[i][j] + B[i][j];
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| 43 | }
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| 44 |
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| 45 | // subtracts two nxn matrices. C is "out" variable.
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| 46 | void subtract(int n, float C[][], float A[][], float B[][]) {
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| 47 | for (int i = 0; i < n; i++)
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| 48 | for (int j = 0; j < n; j++)
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| 49 | C[i][j] = A[i][j] - B[i][j];
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| 50 | }
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| 51 |
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| 52 |
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| 53 | // Strassen algorithm from
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| 54 | // https://martin-thoma.com/strassen-algorithm-in-python-java-cpp/
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| 55 | // I'm just going to assume n is a power of 2.
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| 56 | // There is no problem dealing with the general case but need more
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| 57 | // time!
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| 58 |
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| 59 | // multiplies two nxn matrices, storing result in C
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| 60 | void strassenR(int n, float C[][], float A[][], float B[][]) {
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| 61 | if (n <= LEAF_SIZE) {
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| 62 | matrixMultiply(n, C, A, B);
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| 63 | } else {
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| 64 | // initializing the new sub-matrices
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| 65 | int newSize = n / 2;
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| 66 | float a11[newSize][newSize];
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| 67 | float a12[newSize][newSize];
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| 68 | float a21[newSize][newSize];
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| 69 | float a22[newSize][newSize];
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| 70 |
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| 71 | float b11[newSize][newSize];
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| 72 | float b12[newSize][newSize];
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| 73 | float b21[newSize][newSize];
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| 74 | float b22[newSize][newSize];
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| 75 |
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| 76 | float aResult[newSize][newSize];
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| 77 | float bResult[newSize][newSize];
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| 78 |
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| 79 | // dividing the matrices in 4 sub-matrices:
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| 80 | for (int i = 0; i < newSize; i++) {
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| 81 | for (int j = 0; j < newSize; j++) {
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| 82 | a11[i][j] = A[i][j]; // top left
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| 83 | a12[i][j] = A[i][j + newSize]; // top right
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| 84 | a21[i][j] = A[i + newSize][j]; // bottom left
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| 85 | a22[i][j] = A[i + newSize][j + newSize]; // bottom right
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| 86 |
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| 87 | b11[i][j] = B[i][j]; // top left
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| 88 | b12[i][j] = B[i][j + newSize]; // top right
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| 89 | b21[i][j] = B[i + newSize][j]; // bottom left
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| 90 | b22[i][j] = B[i + newSize][j + newSize]; // bottom right
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| 91 | }
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| 92 | }
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| 93 | // Calculating p1 to p7:
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| 94 | add(newSize, aResult, a11, a22);
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| 95 | add(newSize, bResult, b11, b22);
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| 96 | float p1[newSize][newSize];
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| 97 | strassenR(newSize, p1, aResult, bResult);
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| 98 | // p1 = (a11+a22) * (b11+b22)
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| 99 |
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| 100 | add(newSize, aResult, a21, a22); // a21 + a22
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| 101 | float p2[newSize][newSize];
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| 102 | strassenR(newSize, p2, aResult, b11); // p2 = (a21+a22) * (b11)
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| 103 |
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| 104 | subtract(newSize, bResult, b12, b22); // b12 - b22
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| 105 | float p3[newSize][newSize];
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| 106 | strassenR(newSize, p3, a11, bResult);
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| 107 | // p3 = (a11) * (b12 - b22)
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| 108 |
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| 109 | subtract(newSize, bResult, b21, b11); // b21 - b11
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| 110 | float p4[newSize][newSize];
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| 111 | strassenR(newSize, p4, a22, bResult);
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| 112 | // p4 = (a22) * (b21 - b11)
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| 113 |
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| 114 | add(newSize, aResult, a11, a12); // a11 + a12
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| 115 | float p5[newSize][newSize];
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| 116 | strassenR(newSize, p5, aResult, b22);
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| 117 | // p5 = (a11+a12) * (b22)
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| 118 |
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| 119 | subtract(newSize, aResult, a21, a11); // a21 - a11
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| 120 | add(newSize, bResult, b11, b12); // b11 + b12
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| 121 | float p6[newSize][newSize];
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| 122 | strassenR(newSize, p6, aResult, bResult);
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| 123 | // p6 = (a21-a11) * (b11+b12)
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| 124 |
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| 125 | subtract(newSize, aResult, a12, a22); // a12 - a22
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| 126 | add(newSize, bResult, b21, b22); // b21 + b22
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| 127 | float p7[newSize][newSize];
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| 128 | strassenR(newSize, p7, aResult, bResult);
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| 129 | // p7 = (a12-a22) * (b21+b22)
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| 130 |
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| 131 | // calculating c21, c21, c11 e c22:
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| 132 | float c12[newSize][newSize];
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| 133 | add(newSize, c12, p3, p5); // c12 = p3 + p5
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| 134 | float c21[newSize][newSize];
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| 135 | add(newSize, c21, p2, p4); // c21 = p2 + p4
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| 136 |
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| 137 | add(newSize, aResult, p1, p4); // p1 + p4
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| 138 | add(newSize, bResult, aResult, p7); // p1 + p4 + p7
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| 139 | float c11[newSize][newSize];
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| 140 | subtract(newSize, c11, bResult, p5);
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| 141 | // c11 = p1 + p4 - p5 + p7
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| 142 |
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| 143 | add(newSize, aResult, p1, p3); // p1 + p3
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| 144 | add(newSize, bResult, aResult, p6); // p1 + p3 + p6
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| 145 | float c22[newSize][newSize];
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| 146 | subtract(newSize, c22, bResult, p2);
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| 147 | // c22 = p1 + p3 - p2 + p6
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| 148 |
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| 149 | // Grouping the results obtained in a single matrix:
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| 150 | for (int i = 0; i < newSize; i++) {
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| 151 | for (int j = 0; j < newSize; j++) {
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| 152 | C[i][j] = c11[i][j];
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| 153 | C[i][j + newSize] = c12[i][j];
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| 154 | C[i + newSize][j] = c21[i][j];
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| 155 | C[i + newSize][j + newSize] = c22[i][j];
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| 156 | }
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| 157 | }
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| 158 | }
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| 159 | }
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| 160 |
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| 161 | // determines whether n is a power of 2
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| 162 | _Bool isPowerOf2(int n) {
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| 163 | while (n>1) {
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| 164 | if (n%2 != 0)
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| 165 | return $false;
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| 166 | n = n/2;
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| 167 | }
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| 168 | return $true;
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| 169 | }
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| 170 |
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| 171 | /* main: runs the three tests */
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| 172 | int main() {
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| 173 | $elaborate(N); // hint to verifier
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| 174 | printf("N=%d\n", N);
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| 175 | $assume(isPowerOf2(N));
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| 176 | float R1[N][N], R2[N][N];
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| 177 | matrixMultiply(N, R1, A0, B0);
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| 178 | strassenR(N, R2, A0, B0);
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| 179 | $assert($equals(&R1, &R2));
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| 180 | }
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