mirror of
https://gitlab.kitware.com/vtk/vtk-m
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60 lines
1.6 KiB
C++
60 lines
1.6 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_internal_DeviceAdapterRuntimeDetectorCuda_h
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#define vtk_m_cont_cuda_internal_DeviceAdapterRuntimeDetectorCuda_h
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#include <vtkm/cont/vtkm_cont_export.h>
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#include <vtkm/Types.h>
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#include <vtkm/cont/cuda/internal/DeviceAdapterTagCuda.h>
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namespace vtkm
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{
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namespace cont
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{
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template <class DeviceAdapterTag>
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class DeviceAdapterRuntimeDetector;
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/// \brief Class providing a CUDA runtime support detector.
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///
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/// The class provide the actual implementation used by
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/// vtkm::cont::RuntimeDeviceInformation for the CUDA backend.
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///
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/// We will verify at runtime that the machine has at least one CUDA
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/// capable device, and said device is from the 'fermi' (SM_20) generation
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/// or newer.
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///
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template <>
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class VTKM_CONT_EXPORT DeviceAdapterRuntimeDetector<vtkm::cont::DeviceAdapterTagCuda>
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{
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public:
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VTKM_CONT DeviceAdapterRuntimeDetector();
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/// Returns true if the given device adapter is supported on the current
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/// machine.
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///
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/// Only returns true if we have at-least one CUDA capable device of SM_20 or
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/// greater ( fermi ).
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///
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VTKM_CONT bool Exists() const;
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private:
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vtkm::Int32 NumberOfDevices;
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vtkm::Int32 HighestArchSupported;
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};
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}
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} // namespace vtkm::cont
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#endif
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