mirror of
https://gitlab.kitware.com/vtk/vtk-m
synced 2024-09-16 17:22:55 +00:00
138 lines
3.4 KiB
C++
138 lines
3.4 KiB
C++
//============================================================================
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// Copyright (c) Kitware, Inc.
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// All rights reserved.
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// See LICENSE.txt for details.
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//
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// This software is distributed WITHOUT ANY WARRANTY; without even
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// the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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// PURPOSE. See the above copyright notice for more information.
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//============================================================================
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#ifndef vtk_m_cont_cuda_ChooseCudaDevice_h
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#define vtk_m_cont_cuda_ChooseCudaDevice_h
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#include <vtkm/cont/ErrorExecution.h>
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#include <vtkm/cont/cuda/ErrorCuda.h>
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#include <algorithm>
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#include <vector>
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VTKM_THIRDPARTY_PRE_INCLUDE
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#include <cuda.h>
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VTKM_THIRDPARTY_POST_INCLUDE
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namespace vtkm
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{
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namespace cont
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{
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namespace cuda
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{
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namespace
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{
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struct compute_info
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{
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compute_info(cudaDeviceProp prop, int index)
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{
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this->Index = index;
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this->Major = prop.major;
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this->MemorySize = prop.totalGlobalMem;
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this->Performance =
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prop.multiProcessorCount * prop.maxThreadsPerMultiProcessor * (prop.clockRate / 100000.0);
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//9999 is equal to emulation make sure it is a super bad device
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if (this->Major >= 9999)
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{
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this->Major = -1;
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this->Performance = -1;
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}
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}
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//sort from fastest to slowest
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bool operator<(const compute_info other) const
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{
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//if we are both SM3 or greater check performance
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//if we both the same SM level check performance
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if ((this->Major >= 3 && other.Major >= 3) || (this->Major == other.Major))
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{
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return betterPerformance(other);
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}
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//prefer the greater SM otherwise
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return this->Major > other.Major;
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}
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bool betterPerformance(const compute_info other) const
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{
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if (this->Performance == other.Performance)
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{
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if (this->MemorySize == other.MemorySize)
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{
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//prefer first device over second device
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//this will be subjective I bet
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return this->Index < other.Index;
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}
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return this->MemorySize > other.MemorySize;
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}
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return this->Performance > other.Performance;
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}
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int GetIndex() const { return Index; }
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private:
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int Index;
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int Major;
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size_t MemorySize;
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double Performance;
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};
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}
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///Returns the fastest cuda device id that the current system has
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///A result of zero means no cuda device has been found
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static int FindFastestDeviceId()
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{
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//get the number of devices and store information
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int numberOfDevices = 0;
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VTKM_CUDA_CALL(cudaGetDeviceCount(&numberOfDevices));
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std::vector<compute_info> devices;
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for (int i = 0; i < numberOfDevices; ++i)
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{
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cudaDeviceProp properties;
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VTKM_CUDA_CALL(cudaGetDeviceProperties(&properties, i));
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if (properties.computeMode != cudaComputeModeProhibited)
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{
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//only add devices that have compute mode allowed
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devices.push_back(compute_info(properties, i));
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}
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}
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//sort from fastest to slowest
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std::sort(devices.begin(), devices.end());
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int device = 0;
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if (devices.size() > 0)
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{
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device = devices.front().GetIndex();
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}
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return device;
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}
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//choose a cuda compute device. This can't be used if you are setting
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//up open gl interop
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static void SetCudaDevice(int id)
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{
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cudaError_t cError = cudaSetDevice(id);
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if (cError != cudaSuccess)
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{
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std::string cuda_error_msg("Unable to bind to the given cuda device. Error: ");
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cuda_error_msg.append(cudaGetErrorString(cError));
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throw vtkm::cont::ErrorExecution(cuda_error_msg);
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}
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}
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}
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}
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} //namespace
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#endif
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