paraview-dev 5.0.1+dfsg1-4 / usr / include / paraview / CUDAConvolutionDriver.h

/*
 * Copyright 2012 SciberQuest Inc.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 *
 *  * Redistributions of source code must retain the above copyright notice,
 *    this list of conditions and the following disclaimer.
 *
 *  * Redistributions in binary form must reproduce the above copyright notice,
 *    this list of conditions and the following disclaimer in the documentation
 *    and/or other materials provided with the distribution.
 *
 *  * Neither name of SciberQuest Inc. nor the names of any contributors may be
 *    used to endorse or promote products derived from this software without
 *    specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS''
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE LIABLE FOR
 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 */

#ifndef CUDAConvolutionDriver_h
#define CUDAConvolutionDriver_h

#include "vtkSciberQuestModule.h" // for export
#include <algorithm> // for min

class vtkDataArray;
class CartesianExtent;

/// CUDAConvolutionDriver - Interface to the CUDA kernel
class VTKSCIBERQUEST_EXPORT CUDAConvolutionDriver
{
public:
  ///
  CUDAConvolutionDriver();

  /**
  Select a GPU by CUDA device id.
  */
  int SetDeviceId(int deviceId);
  unsigned int GetDeviceId(){ return this->DeviceId; }

  /**
  Query the number of CUDA device installed on this
  system.
  */
  unsigned int GetNumberOfDevices(){ return this->NDevices; }

  /**
  Query device limits for the selected device.
  */
  unsigned int GetMaxNumberOfThreads(){ return this->MaxThreads; }
  unsigned int GetMaxNumberOfBlocks(){ return this->MaxBlocks; }

  ///
  unsigned int GetNumberOfThreads(){ return this->NThreads; }
  void SetNumberOfThreads(unsigned int nThreads)
  {
    this->NThreads=std::min(nThreads,this->MaxThreads);
  }
  ///
  unsigned int GetNumberOfBlocks(){ return this->NBlocks; }
  void SetNumberOfBlocks(unsigned int nBlocks)
  {
    this->NBlocks=std::min(nBlocks,this->MaxBlocks);
  }

  /**
  Set the work per block that determines the data partitioning on
  the GPU. More warps per block leads to larger blocks.
  */
  unsigned int GetNumberOfWarpsPerBlock(){ return this->WarpsPerBlock; }
  void SetNumberOfWarpsPerBlock(unsigned int warpsPerBlock)
  {
    this->WarpsPerBlock=std::min(warpsPerBlock,this->MaxWarpsPerBlock);
  }

  /**
  Set the memory type to be used to store the kernel on the GPU.
  Can be one of the followinig: CUDA_MEM_TYPE_GLOBAL, CUDA_MEM_TYPE_CONST,
  CUDA_MEM_TYPE_TEX. Note that constant memory is limited to 64kB and
  thus can only be used up to some kernel fixed kernel width. If constant
  memory is selected and the kernel is too large to fit in constant memory
  global memory will be used.
  */
  enum
  {
    CUDA_MEM_TYPE_GLOBAL=0,
    CUDA_MEM_TYPE_CONST=1,
    CUDA_MEM_TYPE_TEX=2
  };
  void SetKernelMemoryType(int memType){ this->KernelMemoryType=memType; }
  void SetKernelMemoryTypeToGlobal(){ this->KernelMemoryType=CUDA_MEM_TYPE_GLOBAL; }
  void SetKernelMemoryTypeToConstant(){ this->KernelMemoryType=CUDA_MEM_TYPE_CONST; }
  void SetKernelMemoryTypeToTexture(){ this->KernelMemoryType=CUDA_MEM_TYPE_TEX; }
  int GetKernelMemoryType(){ return this->KernelMemoryType; }

  /**
  Set the memory type to use for input arrays. Can be one of CUDA_MEM_TYPE_GLOBAL,
  or CUDA_MEM_TYPE_TEX.
  */
  void SetInputMemoryType(int memType){ this->InputMemoryType=memType; }
  void SetInputMemoryTypeToGlobal(){ this->InputMemoryType=CUDA_MEM_TYPE_GLOBAL; }
  void SetInputMemoryTypeToTexture(){ this->InputMemoryType=CUDA_MEM_TYPE_TEX; }
  int GetInputMemoryType(){ return this->InputMemoryType; }

  /// Invoke the kernel
  int Convolution(
      CartesianExtent &extV,
      CartesianExtent &extW,
      CartesianExtent &extK,
      int ghostV,
      int mode,
      vtkDataArray *V,
      vtkDataArray *W,
      float *K);
  /*
  void Convolution3D(
      CartesianExtent &extV,
      CartesianExtent &extW,
      CartesianExtent &extK,
      int ghostV,
      int mode,
      vtkDataArray *V,
      vtkDataArray *W,
      float *K);
  */
private:
  unsigned int NDevices;
  unsigned int DeviceId;
  unsigned int MaxThreads;
  unsigned int NThreads;
  unsigned int MaxBlocks;
  unsigned int NBlocks;
  int KernelMemoryType;
  int InputMemoryType;
  unsigned int BlockGridMax[3];
  unsigned int WarpSize;
  unsigned int WarpsPerBlock;
  unsigned int MaxWarpsPerBlock;
};

#endif

// VTK-HeaderTest-Exclude: CUDAConvolutionDriver.h