- #Force 20 fortran download how to#
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Link with a static OpenCL ICD loader library and standard OpenCL headers. If you are compiling for OpenCL, the default setting is to download, build, and
#Force 20 fortran download how to#
Process and will terminate with an error and a suggestion for how to remove them. CMake will detect files generated by that
When building with CMake, you must NOT build the GPU library in lib/gpu
#Force 20 fortran download driver#
The preferred GPU architecture directly included rather than having to waitįor the JIT compiler of the CUDA driver to translate it.
#Force 20 fortran download code#
Thus the GPU_ARCH setting is merely an optimization, to have code for To include support for all major GPU architectures supported by this toolkit. Sm_80 for Ampere (supported since CUDA 11)Ī more detailed list can be found, for example,ĬMake can detect which version of the CUDA toolkit is used and thus will try Sm_75 for Turing (supported since CUDA 10) Sm_60 or sm_61 for Pascal (supported since CUDA 8) Sm_50 or sm_52 for Maxwell (supported since CUDA 6) Sm_35 or sm_37 for Kepler (supported since CUDA 5 and until CUDA 11.x) Sm_30 for Kepler (supported since CUDA 5 and until CUDA 10.x) Sm_20 or sm_21 for Fermi (supported by CUDA 3.2 until CUDA 7.5) Sm_12 or sm_13 for GT200 (supported by CUDA 3.2 until CUDA 6.5) GPU_ARCH settings for different GPU hardware is as follows: D USE_STATIC_OPENCL_LOADER =value # downloads/includes OpenCL ICD loader library, no local OpenCL headers/libs needed # value = yes (default) or no D CUDA_MPS_SUPPORT =value # enables some tweaks required to run with active nvidia-cuda-mps daemon # value = yes or no (default) D CUDPP_OPT =value # use GPU binning on with CUDA (should be off for modern GPUs) # enables CUDA Performance Primitives, must be "no" for CUDA_MPS_SUPPORT=yes # value = yes or no (default) D HIP_USE_DEVICE_SORT =value # enables GPU sorting # value = yes (default) or no D HIP_ARCH =value # primary GPU hardware choice for GPU_API=hip # value depends on selected HIP_PLATFORM # default is 'gfx906' for HIP_PLATFORM=amd and 'sm_50' for HIP_PLATFORM=nvcc D GPU_ARCH =value # primary GPU hardware choice for GPU_API=cuda # value = sm_XX, see below # default is sm_50 D GPU_PREC =value # precision setting # value = double or mixed (default) or single D GPU_API =value # value = opencl (default) or cuda or hip Notes for saving disk space when building LAMMPS from source
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