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35 # If the user did not set GMX_GPU we'll consider this option to be
36 # in "auto" mode meaning that we will:
37 # - search for CUDA and set GMX_GPU=ON we find it
38 # - check whether GPUs are present
39 # - if CUDA is not found but GPUs were detected issue a warning
40 if (NOT DEFINED GMX_GPU)
41 set(GMX_GPU_AUTO TRUE CACHE INTERNAL "GPU acceleration will be selected automatically")
43 set(GMX_GPU_AUTO FALSE CACHE INTERNAL "GPU acceleration will be selected automatically")
45 option(GMX_GPU "Enable GPU acceleration" OFF)
47 option(GMX_CLANG_CUDA "Use clang for CUDA" OFF)
49 if(GMX_GPU AND GMX_DOUBLE)
50 message(FATAL_ERROR "GPU acceleration is not available in double precision!")
52 if(GMX_GPU_AUTO AND GMX_DOUBLE)
53 message(WARNING "GPU acceleration is not available in double precision, disabled!")
54 set_property(CACHE GMX_GPU PROPERTY VALUE OFF)
55 set_property(CACHE GMX_GPU_AUTO PROPERTY VALUE OFF)
58 # detect GPUs in the build host machine
59 if ((GMX_GPU OR GMX_GPU_AUTO) AND NOT GMX_GPU_DETECTION_DONE)
64 # We need to call find_package even when we've already done the detection/setup
65 if(GMX_GPU OR GMX_GPU_AUTO)
66 if(NOT GMX_GPU AND NOT GMX_DETECT_GPU_AVAILABLE)
67 # Stay quiet when detection has occured and found no GPU.
68 # Noise is acceptable when there is a GPU or the user required one.
69 set(FIND_CUDA_QUIETLY QUIET)
72 # Cmake tries to use the static cuda runtime by default,
73 # but this leads to unusable GPU builds on OS X.
75 set(CUDA_USE_STATIC_CUDA_RUNTIME OFF CACHE STRING "Use the static version of the CUDA runtime library if available")
78 find_package(CUDA ${REQUIRED_CUDA_VERSION} ${FIND_CUDA_QUIETLY})
81 # Depending on the current vale of GMX_GPU and GMX_GPU_AUTO:
82 # - OFF, FALSE: Will skip this detection/setup.
83 # - OFF, TRUE : Will keep GMX_GPU=OFF if no CUDA is detected, but will assemble
84 # a warning message which will be issued at the end of the
85 # configuration if GPU(s) were found in the build system.
86 # - ON , FALSE: The user requested GPU build and this requires CUDA, so we will
87 # fail if it is not available.
88 # - ON , TRUE : Can't happen (GMX_GPU=ON can only be user-set at this point)
89 if((GMX_GPU OR GMX_GPU_AUTO) AND NOT GMX_GPU_DETECTION_DONE)
90 # assemble warning/error message
91 if (GMX_DETECT_GPU_AVAILABLE)
92 set(_msg "${GMX_DETECT_GPU_COUNT} NVIDIA GPU(s) found in the system")
95 if (NOT GMX_DETECT_GPU_INFO STREQUAL "")
97 foreach(gpu ${GMX_DETECT_GPU_INFO})
103 # TODO remove the second part of the message when we'll have compute
104 # capability information from the detection.
106 Compute capability information not available, consult the NVIDIA website:
107 https://developer.nvidia.com/cuda-gpus")
110 set(CUDA_NOTFOUND_MESSAGE "mdrun supports native GPU acceleration on NVIDIA hardware with compute capability >= ${REQUIRED_CUDA_COMPUTE_CAPABILITY} (Kepler or later). This requires the NVIDIA CUDA toolkit, which was not found. Its location can be hinted by setting the CUDA_TOOLKIT_ROOT_DIR CMake option (does not work as an environment variable). The typical location would be /usr/local/cuda[-version]. Note that CPU or GPU acceleration can be selected at runtime.
117 # Disable GPU acceleration in auto mode
118 message(STATUS "No compatible CUDA toolkit found (v5.0+), disabling native GPU acceleration")
119 set_property(CACHE GMX_GPU PROPERTY VALUE OFF)
120 set(CUDA_NOTFOUND_AUTO ON)
122 # the user requested CUDA, but it wasn't found
123 message(FATAL_ERROR "${CUDA_NOTFOUND_MESSAGE}")
127 message(STATUS "Enabling native GPU acceleration")
128 set_property(CACHE GMX_GPU PROPERTY VALUE ON)
133 # Annoyingly enough, FindCUDA leaves a few variables behind as non-advanced.
134 # We need to mark these advanced outside the conditional, otherwise, if the
135 # user turns GMX_GPU=OFF after a failed cmake pass, these variables will be
136 # left behind in the cache.
137 mark_as_advanced(CUDA_SDK_ROOT_DIR
138 CUDA_USE_STATIC_CUDA_RUNTIME
139 CUDA_dl_LIBRARY CUDA_rt_LIBRARY
142 mark_as_advanced(CUDA_TOOLKIT_ROOT_DIR)
143 mark_as_advanced(CUDA_HOST_COMPILER)
146 # Try to execute ${CUDA_NVCC_EXECUTABLE} --version and set the output
147 # (or an error string) in the argument variable.
148 # Note that semicolon is used as separator for nvcc.
151 # COMPILER_INFO - [output variable] string with compiler path, ID and
152 # some compiler-provided information
153 # DEVICE_COMPILER_FLAGS - [output variable] device flags for the compiler
154 # HOST_COMPILER_FLAGS - [output variable] host flags for the compiler, if propagated
156 macro(get_cuda_compiler_info COMPILER_INFO DEVICE_COMPILER_FLAGS HOST_COMPILER_FLAGS)
157 if(NOT GMX_CLANG_CUDA)
158 if(CUDA_NVCC_EXECUTABLE)
160 # Get the nvcc version string. This is multi-line, but since it is only 4 lines
161 # and might change in the future it is better to store than trying to parse out
162 # the version from the current format.
163 execute_process(COMMAND ${CUDA_NVCC_EXECUTABLE} --version
164 RESULT_VARIABLE _nvcc_version_res
165 OUTPUT_VARIABLE _nvcc_version_out
166 ERROR_VARIABLE _nvcc_version_err
167 OUTPUT_STRIP_TRAILING_WHITESPACE)
168 if (${_nvcc_version_res} EQUAL 0)
169 # Fix multi-line mess: Replace newline with ";" so we can use it in a define
170 string(REPLACE "\n" ";" _nvcc_info_singleline ${_nvcc_version_out})
171 SET(${COMPILER_INFO} "${CUDA_NVCC_EXECUTABLE} ${_nvcc_info_singleline}")
172 string(TOUPPER ${CMAKE_BUILD_TYPE} _build_type)
173 SET(_compiler_flags "${CUDA_NVCC_FLAGS_${_build_type}}")
174 if(CUDA_PROPAGATE_HOST_FLAGS)
175 set(${HOST_COMPILER_FLAGS} BUILD_CXXFLAGS)
177 set(${HOST_COMPILER_FLAGS} "")
179 SET(${DEVICE_COMPILER_FLAGS} "${CUDA_NVCC_FLAGS}${CUDA_NVCC_FLAGS_${_build_type}}")
181 SET(${COMPILER_INFO} "N/A")
182 SET(${COMPILER_FLAGS} "N/A")
186 # CXX compiler is the CUDA compiler
187 set(${COMPILER_INFO} "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION}")
188 # there are some extra flags
189 set(${COMPILER_FLAGS} "${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_${_build_type}} ${GMX_CUDA_CLANG_FLAGS}")
193 macro(enable_multiple_cuda_compilation_units)
194 message(STATUS "Enabling multiple compilation units for the CUDA non-bonded module.")
195 set_property(CACHE GMX_CUDA_NB_SINGLE_COMPILATION_UNIT PROPERTY VALUE OFF)
198 include(CMakeDependentOption)
199 include(gmxOptionUtilities)
202 if(NOT GMX_CLANG_CUDA)
203 if(NOT CUDA_NVCC_EXECUTABLE)
204 message(FATAL_ERROR "nvcc is required for a CUDA build, please set CUDA_TOOLKIT_ROOT_DIR appropriately")
206 # set up nvcc options
207 include(gmxManageNvccConfig)
209 include(gmxManageClangCudaConfig)
212 # no OpenMP is no good!
214 message(WARNING "To use GPU acceleration efficiently, mdrun requires OpenMP multi-threading. Without OpenMP a single CPU core can be used with a GPU which is not optimal. Note that with MPI multiple processes can be forced to use a single GPU, but this is typically inefficient. You need to set both C and C++ compilers that support OpenMP (CC and CXX environment variables, respectively) when using GPUs.")
218 option(GMX_CUDA_NB_SINGLE_COMPILATION_UNIT "Whether to compile the CUDA non-bonded module using a single compilation unit." OFF)
219 mark_as_advanced(GMX_CUDA_NB_SINGLE_COMPILATION_UNIT)