szha commented on a change in pull request #12926: parallelize 
NDArray::Copy<cpu, cpu> when data size is large
URL: https://github.com/apache/incubator-mxnet/pull/12926#discussion_r227914102
 
 

 ##########
 File path: src/ndarray/ndarray_function.cc
 ##########
 @@ -32,19 +32,34 @@
 
 namespace mxnet {
 namespace ndarray {
+template<typename DType>
+void OMPCopy(const TBlob &from, TBlob *to, const index_t size) {
+  DType* dst_dptr = to->dptr<DType>();
+  DType* src_dptr = from.dptr<DType>();
+  #pragma omp parallel for 
num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
+  for (index_t i = 0; i < size; ++i) {
+    dst_dptr[i] = src_dptr[i];
+  }
+}
+
 template<>
 void Copy<cpu, cpu>(const TBlob &from, TBlob *to,
                     Context from_ctx, Context to_ctx,
                     RunContext ctx) {
   MSHADOW_TYPE_SWITCH(to->type_flag_, DType, {
     if (to->type_flag_ == from.type_flag_) {
-        mshadow::Copy(to->FlatTo1D<cpu, DType>(),
-                      from.FlatTo1D<cpu, DType>());
+      index_t copy_block_size = dmlc::GetEnv("MXNET_CPU_PARALLEL_COPY_SIZE", 
200000);
+      const index_t size = from.Size();
+      if (size >= copy_block_size) {
+        OMPCopy<DType>(from, to, size);
+      } else {
+        mshadow::Copy(to->FlatTo1D<cpu, DType>(), from.FlatTo1D<cpu, DType>());
 
 Review comment:
   We can probably get rid of the mshadow::Copy here, and merge that in OMP 
copy. This way you can put the threshold check as a condition in pragma omp

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