稀疏矩阵 part 4

▶ 各种稀疏矩阵数据结构下 y(n,1) = A(n,m) * x(m,1) 的实现，GPU版本

● MAT 乘法

 __global__ void dotGPU(const MAT *a, const MAT *x, MAT *y)
 {
     int id = blockIdx.x * blockDim.x + threadIdx.x;
     if (id < a->row)
     {
         format sum = ;
         for (int i = ; i < a->col; i++)
             sum += a->data[id * a->col + i] * x->data[i];
         y->data[id] = sum;
     }
     if (id == )
     {
         y->row = a->row;
         y->col = x->col;
         COUNT_MAT(y);
     }
     return;
 }

● CSR 乘法

 __global__ void dotGPU(const CSR *a, const MAT *x, MAT *y)
 {
     int id = blockIdx.x * blockDim.x + threadIdx.x;
     if (id < a->row)
     {
         format sum = ;
         for (int j = a->ptr[id]; j < a->ptr[id + ]; j++)
             sum += a->data[j] * x->data[a->index[j]];
         y->data[id] = sum;
     }
     if (id == )
     {
         y->row = a->row;
         y->col = x->col;
         COUNT_MAT(y);
     }
     return;
 }

● ELL 乘法

 __global__ void dotGPU(const ELL *a, const MAT *x, MAT *y)
 {
     int id = blockIdx.x * blockDim.x + threadIdx.x;
     if (id < a->col)
     {
         format sum = ;
         for (int j = ; j < a->row; j++)
             sum += a->data[id + j * a->col] * (a->index[id + j * a->col] <  ?  : x->data[a->index[id + j * a->col]]);
         y->data[id] = sum;
     }
     if (id == )
     {
         y->row = a->col;
         y->col = x->col;
         COUNT_MAT(y);
     }
     return;
 }

● COO 乘法

 __global__ void dotGPU(const ELL *a, const MAT *x, MAT *y)// GPU ELL乘法
 {
     int id = blockIdx.x * blockDim.x + threadIdx.x;
     if (id < a->col)
     {
         format sum = ;
         for (int j = ; j < a->row; j++)
             sum += a->data[id + j * a->col] * (a->index[id + j * a->col] <  ?  : x->data[a->index[id + j * a->col]]);
         y->data[id] = sum;
     }
     if (id == )
     {
         y->row = a->col;
         y->col = x->col;
         COUNT_MAT(y);
     }
     return;
 }

● DIA 乘法，留坑