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authorDeterminant <ted.sybil@gmail.com>2015-08-28 13:21:52 +0800
committerDeterminant <ted.sybil@gmail.com>2015-08-28 13:21:52 +0800
commit1a9f63e351582f54fec7817927168cb1dbb0c1d6 (patch)
treec340b648c60d93b956be5956fa03233383e37e5d /nerv/lib/matrix/generic/cukernel.cu
parent8bf9c7575ffeeabb3924e9e02a35afe187071fe2 (diff)
support gpu buffering
Diffstat (limited to 'nerv/lib/matrix/generic/cukernel.cu')
-rw-r--r--nerv/lib/matrix/generic/cukernel.cu20
1 files changed, 20 insertions, 0 deletions
diff --git a/nerv/lib/matrix/generic/cukernel.cu b/nerv/lib/matrix/generic/cukernel.cu
index e337798..08feb59 100644
--- a/nerv/lib/matrix/generic/cukernel.cu
+++ b/nerv/lib/matrix/generic/cukernel.cu
@@ -284,6 +284,15 @@ __global__ void cudak_(gen_col_idx)(MATRIX_ELEM *b,
b[j + i * stride] = j;
}
+__global__ void cudak_(copy_rows_by_idx)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
+ const MATRIX_ELEM *idx, int b_begin,
+ int nrow, int ncol, int stride) {
+ int j = blockIdx.x * blockDim.x + threadIdx.x;
+ int i = blockIdx.y * blockDim.y + threadIdx.y;
+ if (i >= nrow || j >= ncol) return;
+ b[j + i * stride] = a[j + lrintf(idx[i]) * stride];
+}
+
extern "C" {
#include "../cukernel.h"
void cudak_(cuda_log_elem)(const Matrix *a, Matrix *b) {
@@ -589,5 +598,16 @@ extern "C" {
b->stride / sizeof(MATRIX_ELEM));
cudaStreamSynchronize(0);
}
+
+ void cudak_(cuda_copy_rows_by_idx)(const Matrix *a, Matrix *b,
+ const Matrix *idx, int b_begin) {
+ dim3 threadsPerBlock(CUDA_THREADS_NN, 1);
+ dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x), b->nrow);
+ cudak_(copy_rows_by_idx)<<<numBlocks, threadsPerBlock>>> \
+ (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+ MATRIX_ELEM_PTR(idx) + b_begin,
+ b_begin, b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
+ cudaStreamSynchronize(0);
+ }
}
#endif