1 files changed, 55 insertions, 7 deletions
diff --git a/matrix/cukernel.cu b/matrix/cukernel.cu
index 91e7e35..d6d7997 100644
--- a/matrix/cukernel.cu
+++ b/matrix/cukernel.cu
@@ -1,5 +1,9 @@
+#include <assert.h>
 #include "generic/matrix.h"
+#include <stdio.h>
+#include "cuda.h"
 #define CUDA_THREADS_N 16
+#define CUDA_THREADS_NN (16 * 16)
 #define CEIL_DIV(a, b) (((a) + (b) - 1) / (b))
 __global__ void sigmoid(const float *a, float *b,
                         int nrow, int ncol, int stride) {
@@ -11,11 +15,55 @@ __global__ void sigmoid(const float *a, float *b,
     b[idx] = 1.0 / (1.0 + exp(-a[idx]));
 }
 
-extern "C" void cuda_sigmoid(const Matrix *a, Matrix *b) {
-    dim3 threadsPerBlock(CUDA_THREADS_N,
-                         CUDA_THREADS_N);
-    dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
-                    CEIL_DIV(b->nrow, threadsPerBlock.y));
-    sigmoid<<<numBlocks, threadsPerBlock>>>(a->data.f, b->data.f, b->nrow, b->ncol,
-                                            b->stride / sizeof(float));
+__global__ void block_sum(const float *input, float *output,
+                        const int istride, const int ostride,
+                        const int n) {
+    extern __shared__ float arr[];
+    int j = blockIdx.x * blockDim.x + threadIdx.x;
+    arr[threadIdx.x] = j < n ? input[j + istride * blockIdx.y] : 0;
+    __syncthreads();
+    for (int offset = blockDim.x >> 1;  offset; offset >>= 1)
+    {
+        if (threadIdx.x < offset)
+            arr[threadIdx.x] += arr[threadIdx.x + offset];
+        __syncthreads();
+    }
+    if (threadIdx.x == 0)
+    {
+        /* printf("bx: %d by: %d arr: %f\n", blockIdx.x, blockIdx.y, arr[0]); */
+        output[blockIdx.x + ostride * blockIdx.y] = arr[0];
+    }
+}
+
+extern "C" {
+    void cuda_sigmoid(const Matrix *a, Matrix *b) {
+        dim3 threadsPerBlock(CUDA_THREADS_N,
+                CUDA_THREADS_N);
+        dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+                CEIL_DIV(b->nrow, threadsPerBlock.y));
+        sigmoid<<<numBlocks, threadsPerBlock>>>(a->data.f, b->data.f, b->nrow, b->ncol,
+                b->stride / sizeof(float));
+    }
+
+    void cuda_rowsum(const Matrix *a, Matrix *b) {
+        dim3 block(CUDA_THREADS_NN, 1);
+        int ncol = a->ncol;
+        int blocks_per_row = CEIL_DIV(ncol, block.x);
+        dim3 grid(blocks_per_row, a->nrow);
+        float *res;
+        size_t stride;
+        cudaMallocPitch(&res, &stride, blocks_per_row * sizeof(float), a->nrow);
+        block_sum<<<grid, block, block.x * sizeof(float)>>> \
+            (a->data.f, res,
+             a->stride / sizeof(float), stride / sizeof(float),
+             ncol);
+        ncol = blocks_per_row;
+        assert(ncol <= block.x);
+        grid.x = 1;
+        block_sum<<<grid, block, block.x * sizeof(float)>>> \
+            (res, b->data.f,
+             stride / sizeof(float), b->stride / sizeof(float),
+             ncol);
+        cudaFree(res);
+    }
 }