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37 * Runners for tests of CUDA types compatibility.
39 * \author Artem Zhmurov <zhmurov@gmail.com>
43 #include "typecasts_runner.h"
49 #include "gromacs/gpu_utils/cudautils.cuh"
50 #include "gromacs/gpu_utils/devicebuffer.h"
51 #include "gromacs/gpu_utils/typecasts.cuh"
52 #include "gromacs/utility/exceptions.h"
53 #include "gromacs/utility/stringutil.h"
55 #if GMX_GPU == GMX_GPU_CUDA
63 /* \brief Perform a component-wise conversion of the float3 vector back to RVec format.
65 * This is needed to pass the data back to the CPU testing code for comparison with the initial input.
67 * \param[out] rVecOutput Output data in RVec format for the output.
68 * \param[in] float3Output Output data in float3 format.
69 * \param[in] numElements Size of the data buffers.
71 void inline saveFloat3InRVecFormat(std::vector<gmx::RVec>& rVecOutput, const float3* float3Output, int numElements)
73 for (int i = 0; i < numElements; i++)
75 rVecOutput[i][XX] = float3Output[i].x;
76 rVecOutput[i][YY] = float3Output[i].y;
77 rVecOutput[i][ZZ] = float3Output[i].z;
81 void convertRVecToFloat3OnHost(std::vector<gmx::RVec>& rVecOutput, const std::vector<gmx::RVec>& rVecInput)
83 const int numElements = rVecInput.size();
85 float3* dataFloat3 = asFloat3(const_cast<RVec*>(rVecInput.data()));
87 saveFloat3InRVecFormat(rVecOutput, dataFloat3, numElements);
90 //! Number of CUDA threads in a block.
91 constexpr static int c_threadsPerBlock = 256;
93 /*! \brief GPU kernel to perform type conversion on the device.
95 * \param[out] gm_float3Output Buffer to write the output into.
96 * \param[in] gm_rVecInput Input data in RVec format.
97 * \param[in] size Size of the data buffers.
100 static __global__ void convertRVecToFloat3OnDevice_kernel(DeviceBuffer<float3> gm_float3Output,
101 DeviceBuffer<RVec> gm_rVecInput,
104 int threadIndex = blockIdx.x * blockDim.x + threadIdx.x;
105 if (threadIndex < size)
107 gm_float3Output[threadIndex] = asFloat3(gm_rVecInput)[threadIndex];
111 void convertRVecToFloat3OnDevice(std::vector<gmx::RVec>& h_rVecOutput, const std::vector<gmx::RVec>& h_rVecInput)
113 const int numElements = h_rVecInput.size();
115 DeviceBuffer<RVec> d_rVecInput;
116 allocateDeviceBuffer(&d_rVecInput, numElements, nullptr);
117 copyToDeviceBuffer(&d_rVecInput, h_rVecInput.data(), 0, numElements, nullptr,
118 GpuApiCallBehavior::Sync, nullptr);
120 DeviceBuffer<float3> d_float3Output;
121 allocateDeviceBuffer(&d_float3Output, numElements * DIM, nullptr);
123 std::vector<float3> h_float3Output(numElements);
125 KernelLaunchConfig kernelLaunchConfig;
126 kernelLaunchConfig.gridSize[0] = (numElements + c_threadsPerBlock - 1) / c_threadsPerBlock;
127 kernelLaunchConfig.blockSize[0] = c_threadsPerBlock;
128 kernelLaunchConfig.blockSize[1] = 1;
129 kernelLaunchConfig.blockSize[2] = 1;
130 kernelLaunchConfig.sharedMemorySize = 0;
131 kernelLaunchConfig.stream = nullptr;
133 auto kernelPtr = convertRVecToFloat3OnDevice_kernel;
134 const auto kernelArgs = prepareGpuKernelArguments(kernelPtr, kernelLaunchConfig,
135 &d_float3Output, &d_rVecInput, &numElements);
136 launchGpuKernel(kernelPtr, kernelLaunchConfig, nullptr, "convertRVecToFloat3OnDevice_kernel", kernelArgs);
138 copyFromDeviceBuffer(h_float3Output.data(), &d_float3Output, 0, numElements, nullptr,
139 GpuApiCallBehavior::Sync, nullptr);
141 saveFloat3InRVecFormat(h_rVecOutput, h_float3Output.data(), numElements);
143 freeDeviceBuffer(&d_rVecInput);
144 freeDeviceBuffer(&d_float3Output);
150 #endif // GMX_GPU == GMX_GPU_CUDA