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35 #ifndef GMX_GPU_UTILS_GPUTRAITS_CUH
36 #define GMX_GPU_UTILS_GPUTRAITS_CUH
38 /*! \libinternal \file
39 * \brief Declares the CUDA type traits.
40 * \author Aleksei Iupinov <a.yupinov@gmail.com>
43 * \ingroup module_gpu_utils
46 /*! \brief CUDA device information.
48 * The CUDA device information is queried and set at detection and contains
49 * both information about the device/hardware returned by the runtime as well
50 * as additional data like support status.
52 struct DeviceInformation
54 //! ID of the CUDA device.
56 //! CUDA device properties.
58 //! Result of the device check.
62 //! \brief GPU command stream
63 using CommandStream = cudaStream_t;
64 //! \brief Single GPU call timing event - meaningless in CUDA
65 using CommandEvent = void;
66 //! \brief Context used explicitly in OpenCL, does nothing in CUDA
67 using DeviceContext = void*;
70 * GPU kernels scheduling description. This is same in OpenCL/CUDA.
71 * Provides reasonable defaults, one typically only needs to set the GPU stream
72 * and non-1 work sizes.
74 struct KernelLaunchConfig
76 size_t gridSize[3] = { 1, 1, 1 }; //!< Block counts
77 size_t blockSize[3] = { 1, 1, 1 }; //!< Per-block thread counts
78 size_t sharedMemorySize = 0; //!< Shared memory size in bytes
79 CommandStream stream = nullptr; //!< Stream to launch kernel in
82 //! Sets whether device code can use arrays that are embedded in structs.
83 #define c_canEmbedBuffers true
84 // TODO this should be constexpr bool