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authorDeterminant <[email protected]>2015-05-18 19:29:37 +0800
committerDeterminant <[email protected]>2015-05-18 19:29:37 +0800
commit23fd2694723ab3f2203e6cd040c5e6633cb989c7 (patch)
tree407e5b1f2826df831336fbb8f1bfd69f8ca6e7c5 /matrix/cukernel.cu
parent0f953414dfdbd7abb7b867ce0c3f9390551c1083 (diff)
add rowsum for cumatrix
Diffstat (limited to 'matrix/cukernel.cu')
-rw-r--r--matrix/cukernel.cu62
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);
+ }
}