vectormatrix/5.cpp

#include <stdio.h>
#include <ctime>
#define SIZE 1024

void sparse_matmul_coo(float* A_values, int* A_rowIndex, int* A_colIndex, int A_nonZeroCount,
                       float* B_values, int* B_rowIndex, int* B_colIndex, int B_nonZeroCount,
                       float* C_values, int* C_rowIndex, int* C_colIndex, int *C_nonZeroCount) {
    int currentIndex = 0;
    // 遍历 A 的非零元素
    for (int i = 0; i < A_nonZeroCount; i++) {
        int rowA = A_rowIndex[i];
        int colA = A_colIndex[i];
        float valueA = A_values[i];
        // 遍历 B 的非零元素
        for (int j = 0; j < B_nonZeroCount; j++) {
            int rowB = B_rowIndex[j];
            int colB = B_colIndex[j];
            float valueB = B_values[j];
            // 如果 A 的列和 B 的行匹配，则计算乘积并存储结果
            if (colA == rowB) {
                float product = valueA * valueB;
                // 检查是否已有此 (rowA, colB) 项
                int found = 0;
                for (int k = 0; k < currentIndex; k++) {
                    if (C_rowIndex[k] == rowA && C_colIndex[k] == colB) {
                        C_values[k] += product;
                        found = 1;
                        break;
                    }
                }
                // 如果没有此项，添加新的非零元素
                if (!found) {
                    C_values[currentIndex] = product;
                    C_rowIndex[currentIndex] = rowA;
                    C_colIndex[currentIndex] = colB;
                    currentIndex++;
                }
            }
        }
    }
    // 更新非零元素数量
    *C_nonZeroCount = currentIndex;
}

int main(){
	int i;
	//矩阵 A 的 COO 格式
	float A_values[]={1,2,3,4,5};
	int A_rowIndex[]={0,0,1,2,2};
	int A_colIndex[]={0,2,1,0,2};
	int A_nonZeroCount=5;
	
	//矩阵 B 的 COO 格式
	float B_values[]={6,8,7,9};
	int B_rowIndex[]={0,2,1,2};
	int B_colIndex[]={0,0,1,2};
	int B_nonZeroCount=4;
	
	//矩阵 C 的 COO 格式
	float C_values[SIZE];
	int C_rowIndex[SIZE];
	int C_colIndex[SIZE];
	int C_nonZeroCount=0;
        
    //计时并输出 
    clock_t start=clock();
    sparse_matmul_coo(A_values, A_rowIndex, A_colIndex, A_nonZeroCount,
                  	  B_values, B_rowIndex, B_colIndex, B_nonZeroCount,
                      C_values, C_rowIndex, C_colIndex, &C_nonZeroCount);
    clock_t end=clock();
    printf("初始稀疏矩阵乘法时间：%f秒\n",(double)(end-start)/CLOCKS_PER_SEC); 
    
    return 0;
}