template <int BLOCK_SIZE> __global__ void
matrixMulCUDA_4_1w2w(float* C, float* A, float* B, int wA, int wB)
{
// Block index
int bx = blockIdx.x;
int by = blockIdx.y;
// Thread index
int tx = threadIdx.x;
int ty = threadIdx.y;
// Index of the first sub-matrix of A processed by the block
int aBegin = wA * BLOCK_SIZE * by;
// Index of the last sub-matrix of A processed by the block
int aEnd = aBegin + wA - 1;
// Step size used to iterate through the sub-matrices of A
int aStep = BLOCK_SIZE;
// Index of the first sub-matrix of B processed by the block
int bBegin = BLOCK_SIZE * bx;
// Step size used to iterate through the sub-matrices of B
int bStep = BLOCK_SIZE * wB;
// Csub is used to store the element of the block sub-matrix
// that is computed by the thread
float CSub[2] = { 0,0 };
// Declaration of the shared memory array As used to
// store the sub-matrix of A
__shared__ float Aa[BLOCK_SIZE][BLOCK_SIZE];
__shared__ float Ab[BLOCK_SIZE][BLOCK_SIZE];
// Declaration of the shared memory array Bs used to
// store the sub-matrix of B
__shared__ float Bs[BLOCK_SIZE][2 * BLOCK_SIZE];
__shared__ float Bb[BLOCK_SIZE][2 * BLOCK_SIZE];
// Initial load
Aa[ty][tx] = A[aBegin + wA * ty + tx];
Bs[ty][tx] = B[bBegin + wB * ty + tx];
Bs[ty][tx + BLOCK_SIZE] = B[bBegin + BLOCK_SIZE * wB * ty + tx];
// Synchronize to make sure that initial matrices are loaded
__syncthreads();
// Loop over all the sub-matrices of A and B
// required to compute the block sub-matrix
for (int a = aBegin, b = bBegin;
a <= aEnd;
a += aStep, b += bStep)
{
// copy contents betweeen shared matrixes
Ab[ty][tx] = Aa[ty][tx];
Bb[ty][tx] = Bs[ty][tx];
Bb[ty][tx + BLOCK_SIZE] = Bs[ty][tx + BLOCK_SIZE];
// Synchronize to make sure the matrices are loaded
__syncthreads();
// Load the matrices from device memory
// to shared memory; each thread loads
// two elements of each matrix
if (a + aStep < aEnd) {
Aa[ty][tx] = A[a + wA * ty + tx];
Bs[ty][tx] = B[b + wB * ty + tx];
Bs[ty][tx + BLOCK_SIZE] = B[b + BLOCK_SIZE * wB * ty + tx];
}
// Multiply the two matrices together;
// each thread computes one element
// of the block sub-matrix
for (int g = 0; g < 2; g++) {
#pragma unroll
for (int k = 0; k < BLOCK_SIZE; ++k)
{
CSub[g] += Ab[ty][k + (g * BLOCK_SIZE)] * Bb[k][tx + (g * BLOCK_SIZE)];
}
}
// Synchronize to make sure that the preceding
// computation is done before loading two new
// sub-matrices of A and B in the next iteration
__syncthreads();
}
// Write the block sub-matrix to device memory;
// each thread writes one element
int c = wB * BLOCK_SIZE * by + BLOCK_SIZE * bx;
for (int g = 0; g < 2; g++) {
C[c + (BLOCK_SIZE * g) + wB * ty + tx] = CSub[g];
}
}