File size: 1,247 Bytes
d1be154 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | #pragma once
#include "../cudaflow.hpp"
namespace tf {
// ----------------------------------------------------------------------------
// row-major matrix multiplication
// ----------------------------------------------------------------------------
template <typename T>
__global__ void cuda_matmul(
const T* A,
const T* B,
T* C,
size_t M,
size_t K,
size_t N
) {
__shared__ T A_tile[32][32];
__shared__ T B_tile[32][32];
size_t x = blockIdx.x * blockDim.x + threadIdx.x;
size_t y = blockIdx.y * blockDim.y + threadIdx.y;
T res = 0;
for(size_t k = 0; k < K; k += 32) {
if((threadIdx.x + k) < K && y < M) {
A_tile[threadIdx.y][threadIdx.x] = A[y * K + threadIdx.x + k];
}
else{
A_tile[threadIdx.y][threadIdx.x] = 0;
}
if((threadIdx.y + k) < K && x < N) {
B_tile[threadIdx.y][threadIdx.x] = B[(threadIdx.y + k) * N + x];
}
else{
B_tile[threadIdx.y][threadIdx.x] = 0;
}
__syncthreads();
for(size_t i = 0; i < 32; ++i) {
res += A_tile[threadIdx.y][i] * B_tile[i][threadIdx.x];
}
__syncthreads();
}
if(x < N && y < M) {
C[y * N + x] = res;
}
}
} // end of namespace tf ---------------------------------------------------------
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