text: /*
  Copyright (c) 2015-2016 Advanced Micro Devices, Inc. All rights reserved.
  Permission is hereby granted, free of charge, to any person obtaining a copy
  of this software and associated documentation files (the "Software"), to deal
  in the Software without restriction, including without limitation the rights
  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  copies of the Software, and to permit persons to whom the Software is
  furnished to do so, subject to the following conditions:
  The above copyright notice and this permission notice shall be included in
  all copies or substantial portions of the Software.
  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANUMTY OF ANY KIND, EXPRESS OR
  IMPLIED, INUMCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  FITNUMESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANUMY CLAIM, DAMAGES OR OTHER
  LIABILITY, WHETHER INUM AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  OUT OF OR INUM CONUMECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
  THE SOFTWARE.
  */
  
  #include <iostream>
  #include <hip/hip_runtime.h>
  
  #define WIDTH     32
  
  #define NUM       (WIDTH*WIDTH)
  
  #define THREADS_PER_BLOCK_X  4
  #define THREADS_PER_BLOCK_Y  4
  #define THREADS_PER_BLOCK_Z  1
  
  using namespace std;
  
  __global__ void matrixTranspose_static_shared(hipLaunchParm lp,
                                  float *out,
                                  float *in,
                                  const int width)
  {
      __shared__ float sharedMem[WIDTH*WIDTH];
  
      int x = hipBlockDim_x * hipBlockIdx_x + hipThreadIdx_x;
      int y = hipBlockDim_y * hipBlockIdx_y + hipThreadIdx_y;
  
      sharedMem[y * width + x] = in[x * width + y];
  
      __syncthreads();
  
      out[y * width + x] = sharedMem[y * width + x];
  }
  
  __global__ void matrixTranspose_dynamic_shared(hipLaunchParm lp,
                                  float *out,
                                  float *in,
                                  const int width)
  {
      // declare dynamic shared memory
      HIP_DYNAMIC_SHARED(float, sharedMem)
  
      int x = hipBlockDim_x * hipBlockIdx_x + hipThreadIdx_x;
      int y = hipBlockDim_y * hipBlockIdx_y + hipThreadIdx_y;
  
      sharedMem[y * width + x] = in[x * width + y];
  
      __syncthreads();
  
      out[y * width + x] = sharedMem[y * width + x];
  }
  
  void MultipleStream (float **data, float *randArray, float **gpuTransposeMatrix, float **TransposeMatrix, int width)
  {
      const int num_streams = 2;
      hipStream_t streams[num_streams];
  
      for(int i=0;i<num_streams;i++)
          hipStreamCreate(&streams[i]);
  
      for(int i=0;i<num_streams;i++)
      {
          hipMalloc((void**)&data[i], NUM * sizeof(float));
          hipMemcpyAsync(data[i], randArray, NUM * sizeof(float), hipMemcpyHostToDevice,streams[i]);
      }
  
      hipLaunchKernel(matrixTranspose_static_shared,
                      dim3(WIDTH/THREADS_PER_BLOCK_X, WIDTH/THREADS_PER_BLOCK_Y),
                      dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
                      0, streams[0],
                      gpuTransposeMatrix[0], data[0], width);
  
      hipLaunchKernel(matrixTranspose_dynamic_shared,
                      dim3(WIDTH/THREADS_PER_BLOCK_X, WIDTH/THREADS_PER_BLOCK_Y),
                      dim3(THREADS_PER_BLOCK_X, THREADS_PER_BLOCK_Y),
                      sizeof(float)*WIDTH*WIDTH, streams[1],
                      gpuTransposeMatrix[1], data[1], width);
  
      for(int i=0;i<num_streams;i++)
          hipMemcpyAsync(TransposeMatrix[i], gpuTransposeMatrix[i], NUM*sizeof(float), hipMemcpyDeviceToHost, streams[i]);
  }
  
  int main(){
  
      hipSetDevice(0);
  
      float *data[2], *TransposeMatrix[2], *gpuTransposeMatrix[2], *randArray;
  
      int width = WIDTH;
  
      randArray = (float*)malloc(NUM * sizeof(float));
  
      TransposeMatrix[0] = (float*)malloc(NUM * sizeof(float));
      TransposeMatrix[1] = (float*)malloc(NUM * sizeof(float));
  
      hipMalloc((void**)&gpuTransposeMatrix[0], NUM * sizeof(float));
      hipMalloc((void**)&gpuTransposeMatrix[1], NUM * sizeof(float));
  
      for(int i = 0; i < NUM; i++)
      {
          randArray[i] = (float)i*1.0f;
      }
  
      MultipleStream(data, randArray, gpuTransposeMatrix, TransposeMatrix, width);
  
      hipDeviceSynchronize();
  
      // verify the results
      int errors = 0;
      double eps = 1.0E-6;
      for (int i = 0; i < NUM; i++) {
          if (std::abs(TransposeMatrix[0][i] - TransposeMatrix[1][i]) > eps ) {
          printf("%d stream0: %f stream1  %f\n",i,TransposeMatrix[0][i],TransposeMatrix[1][i]);
          errors++;
          }
      }
      if (errors!=0) {
          printf("FAILED: %d errors\n",errors);
      } else {
          printf ("stream PASSED!\n");
      }
  
      free(randArray);
      for(int i=0;i<2;i++){
         hipFree(data[i]);
         hipFree(gpuTransposeMatrix[i]);
         free(TransposeMatrix[i]);
      }
  
      hipDeviceReset();
      return 0;
  }
  