compare the performance of unpinned memory and pinned memory

paddle/fluid/memory/CMakeLists.txt

@@ -14,3 +14,7 @@ cc_library(paddle_memory
         system_allocator)
 
 cc_test(memory_test SRCS memory_test.cc DEPS place paddle_memory)
+
+if (WITH_GPU)
+    nv_test(pinned_memory_test SRCS pinned_memory_test.cu  DEPS place paddle_memory)
+endif()

paddle/fluid/memory/pinned_memory_test.cu

+/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#include "paddle/fluid/memory/detail/memory_block.h"
+#include "paddle/fluid/memory/detail/meta_data.h"
+#include "paddle/fluid/memory/memcpy.h"
+#include "paddle/fluid/memory/memory.h"
+
+#include "paddle/fluid/platform/cpu_info.h"
+#include "paddle/fluid/platform/gpu_info.h"
+#include "paddle/fluid/platform/place.h"
+
+#include <gtest/gtest.h>
+#include <unordered_map>
+
+template <typename T>
+__global__ void Kernel(T* output, int dim) {
+  int tid = blockIdx.x * blockDim.x + threadIdx.x;
+  if (tid < dim) {
+    output[tid] = output[tid] * output[tid] / 100;
+  }
+}
+
+template <typename Place>
+void test_pinned_memory() {
+  Place cpu_place;
+  paddle::platform::CUDAPlace cuda_place;
+
+  const int data_size = 4096;
+  const int iteration = 10;
+
+  // create event start and end
+  cudaEvent_t start_e, stop_e, copying_e;
+  float elapsedTime = 0;
+  cudaEventCreate(&start_e);
+  cudaEventCreate(&stop_e);
+  cudaEventCreate(&copying_e);
+
+  // create computation stream, data copying stream
+  cudaStream_t computation_stream, copying_stream;
+  cudaStreamCreate(&computation_stream);
+  cudaStreamCreate(&copying_stream);
+
+  // create record event, pinned memory, gpu memory
+  std::vector<cudaEvent_t> record_event(iteration);
+  std::vector<float*> input_pinned_mem(iteration);
+  std::vector<float*> gpu_mem(iteration);
+  std::vector<float*> output_pinned_mem(iteration);
+
+  // initial data
+  for (int j = 0; j < iteration; ++j) {
+    cudaEventCreateWithFlags(&record_event[j], cudaEventDisableTiming);
+    cudaEventCreate(&(record_event[j]));
+    input_pinned_mem[j] = static_cast<float*>(
+        paddle::memory::Alloc(cpu_place, data_size * sizeof(float)));
+    output_pinned_mem[j] = static_cast<float*>(
+        paddle::memory::Alloc(cpu_place, data_size * sizeof(float)));
+    gpu_mem[j] = static_cast<float*>(
+        paddle::memory::Alloc(cuda_place, data_size * sizeof(float)));
+
+    for (int k = 0; k < data_size; ++k) {
+      input_pinned_mem[j][k] = k;
+    }
+  }
+
+  cudaEventRecord(start_e, computation_stream);
+
+  // computation
+  for (int m = 0; m < 30; ++m) {
+    for (int i = 0; i < iteration; ++i) {
+      // cpu -> GPU on computation stream.
+      // note: this operation is async for pinned memory.
+      paddle::memory::Copy(cuda_place, gpu_mem[i], cpu_place,
+                           input_pinned_mem[i], data_size * sizeof(float),
+                           computation_stream);
+
+      // call kernel on computation stream.
+      Kernel<<<4, 1024, 0, computation_stream>>>(gpu_mem[i], data_size);
+
+      // record event_computation on computation stream
+      cudaEventRecord(record_event[i], computation_stream);
+
+      // wait event_computation on copy stream.
+      // note: this operation is async.
+      cudaStreamWaitEvent(copying_stream, record_event[i], 0);
+
+      // copy data GPU->CPU, on copy stream.
+      // note: this operation is async for pinned memory.
+      paddle::memory::Copy(cpu_place, output_pinned_mem[i], cuda_place,
+                           gpu_mem[i], data_size * sizeof(float),
+                           copying_stream);
+    }
+  }
+
+  cudaEventRecord(copying_e, copying_stream);
+  cudaStreamWaitEvent(computation_stream, copying_e, 0);
+
+  cudaEventRecord(stop_e, computation_stream);
+
+  cudaEventSynchronize(start_e);
+  cudaEventSynchronize(stop_e);
+  cudaEventElapsedTime(&elapsedTime, start_e, stop_e);
+
+  std::cout << cpu_place << " "
+            << "time consume:" << elapsedTime / 30 << std::endl;
+
+  for (int l = 0; l < iteration; ++l) {
+    for (int k = 0; k < data_size; ++k) {
+      float temp = input_pinned_mem[l][k];
+      temp = temp * temp / 100;
+      EXPECT_FLOAT_EQ(temp, output_pinned_mem[l][k]);
+    }
+  }
+
+  // destroy resource
+  cudaEventDestroy(copying_e);
+  cudaEventDestroy(start_e);
+  cudaEventDestroy(stop_e);
+  for (int j = 0; j < 10; ++j) {
+    cudaEventDestroy((record_event[j]));
+    paddle::memory::Free(cpu_place, input_pinned_mem[j]);
+    paddle::memory::Free(cpu_place, output_pinned_mem[j]);
+    paddle::memory::Free(cuda_place, gpu_mem[j]);
+  }
+}
+
+TEST(CPUANDCUDAPinned, CPUAllocator) {
+  test_pinned_memory<paddle::platform::CPUPlace>();
+}
+
+TEST(CPUANDCUDAPinned, CUDAPinnedAllocator) {
+  test_pinned_memory<paddle::platform::CUDAPinnedPlace>();
+}
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