FindCUDAToolkit

This script locates the NVIDIA CUDA toolkit and the associated libraries, but does not require the CUDA language be enabled for a given project. This module does not search for the NVIDIA CUDA Samples.

Search Behavior

The CUDA Toolkit search behavior uses the following order:

1. If the CUDA language has been enabled we will use the directory containing the compiler as the first search location for nvcc.

2. If the CUDAToolkit_ROOT cmake configuration variable (e.g., -DCUDAToolkit_ROOT=/some/path) or environment variable is defined, it will be searched. If both an environment variable and a configuration variable are specified, the configuration variable takes precedence.

   The directory specified here must be such that the executable nvcc or the appropriate version.txt file can be found underneath the specified directory.

3. If the CUDA_PATH environment variable is defined, it will be searched for nvcc.
4. The user’s path is searched for nvcc using find_program(). If this is found, no subsequent search attempts are performed. Users are responsible for ensuring that the first nvcc to show up in the path is the desired path in the event that multiple CUDA Toolkits are installed.
5. On Unix systems, if the symbolic link /usr/local/cuda exists, this is used. No subsequent search attempts are performed. No default symbolic link location exists for the Windows platform.

6. The platform specific default install locations are searched. If exactly one candidate is found, this is used. The default CUDA Toolkit install locations searched are:

   Platform	Search Pattern
   macOS	/Developer/NVIDIA/CUDA-X.Y
   Other Unix	/usr/local/cuda-X.Y
   Windows	C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\vX.Y

   Where X.Y would be a specific version of the CUDA Toolkit, such as /usr/local/cuda-9.0 or C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.0

   Note

   When multiple CUDA Toolkits are installed in the default location of a system (e.g., both /usr/local/cuda-9.0 and /usr/local/cuda-10.0 exist but the /usr/local/cuda symbolic link does not exist), this package is marked as not found.

   There are too many factors involved in making an automatic decision in the presence of multiple CUDA Toolkits being installed. In this situation, users are encouraged to either (1) set CUDAToolkit_ROOT or (2) ensure that the correct nvcc executable shows up in $PATH for find_program() to find.

Options

VERSION

If specified, describes the version of the CUDA Toolkit to search for.

REQUIRED

If specified, configuration will error if a suitable CUDA Toolkit is not found.

QUIET

If specified, the search for a suitable CUDA Toolkit will not produce any messages.

EXACT

If specified, the CUDA Toolkit is considered found only if the exact VERSION specified is recovered.

Imported targets

An imported target named CUDA::toolkit is provided.

This module defines IMPORTED targets for each of the following libraries that are part of the CUDAToolkit:

• CUDA Runtime Library
• CUDA Driver Library
• cuBLAS
• cuFFT
• cuRAND
• cuSOLVER
• cuSPARSE
• cuPTI
• NPP
• nvBLAS
• nvGRAPH
• nvJPEG
• nvidia-ML
• nvRTC
• nvToolsExt
• OpenCL
• cuLIBOS

CUDA Runtime Library

The CUDA Runtime library (cudart) are what most applications will typically need to link against to make any calls such as cudaMalloc, and cudaFree.

Targets Created:

• CUDA::cudart
• CUDA::cudart_static

CUDA Driver Library

The CUDA Driver library (cuda) are used by applications that use calls such as cuMemAlloc, and cuMemFree. This is generally used by advanced

Targets Created:

• CUDA::cuda_driver
• CUDA::cuda_driver

cuBLAS

The cuBLAS library.

Targets Created:

• CUDA::cublas
• CUDA::cublas_static
• CUDA::cublasLt starting in CUDA 10.1
• CUDA::cublasLt_static starting in CUDA 10.1

cuFFT

The cuFFT library.

Targets Created:

• CUDA::cufft
• CUDA::cufftw
• CUDA::cufft_static
• CUDA::cufftw_static

cuRAND

The cuRAND library.

Targets Created:

• CUDA::curand
• CUDA::curand_static

cuSOLVER

The cuSOLVER library.

Targets Created:

• CUDA::cusolver
• CUDA::cusolver_static

cuSPARSE

The cuSPARSE library.

Targets Created:

• CUDA::cusparse
• CUDA::cusparse_static

cupti

The NVIDIA CUDA Profiling Tools Interface.

Targets Created:

• CUDA::cupti
• CUDA::cupti_static

NPP

The NPP libraries.

Targets Created:

• nppc:

  • CUDA::nppc
  • CUDA::nppc_static

• nppial: Arithmetic and logical operation functions in nppi_arithmetic_and_logical_operations.h

  • CUDA::nppial
  • CUDA::nppial_static

• nppicc: Color conversion and sampling functions in nppi_color_conversion.h

  • CUDA::nppicc
  • CUDA::nppicc_static

• nppicom: JPEG compression and decompression functions in nppi_compression_functions.h Removed starting in CUDA 11.0, use nvJPEG instead.

  • CUDA::nppicom
  • CUDA::nppicom_static

• nppidei: Data exchange and initialization functions in nppi_data_exchange_and_initialization.h

  • CUDA::nppidei
  • CUDA::nppidei_static

• nppif: Filtering and computer vision functions in nppi_filter_functions.h

  • CUDA::nppif
  • CUDA::nppif_static

• nppig: Geometry transformation functions found in nppi_geometry_transforms.h

  • CUDA::nppig
  • CUDA::nppig_static

• nppim: Morphological operation functions found in nppi_morphological_operations.h

  • CUDA::nppim
  • CUDA::nppim_static

• nppist: Statistics and linear transform in nppi_statistics_functions.h and nppi_linear_transforms.h

  • CUDA::nppist
  • CUDA::nppist_static

• nppisu: Memory support functions in nppi_support_functions.h

  • CUDA::nppisu
  • CUDA::nppisu_static

• nppitc: Threshold and compare operation functions in nppi_threshold_and_compare_operations.h

  • CUDA::nppitc
  • CUDA::nppitc_static

• npps:

  • CUDA::npps
  • CUDA::npps_static

nvBLAS

The nvBLAS libraries. This is a shared library only.

Targets Created:

• CUDA::nvblas

nvGRAPH

The nvGRAPH library. Removed starting in CUDA 11.0

Targets Created:

• CUDA::nvgraph
• CUDA::nvgraph_static

nvJPEG

The nvJPEG library. Introduced in CUDA 10.

Targets Created:

• CUDA::nvjpeg
• CUDA::nvjpeg_static

nvRTC

The nvRTC (Runtime Compilation) library. This is a shared library only.

Targets Created:

• CUDA::nvrtc

nvidia-ML

The NVIDIA Management Library. This is a shared library only.

Targets Created:

• CUDA::nvml

nvToolsExt

The NVIDIA Tools Extension. This is a shared library only.

Targets Created:

• CUDA::nvToolsExt

OpenCL

The NVIDIA OpenCL Library. This is a shared library only.

Targets Created:

• CUDA::OpenCL

cuLIBOS

The cuLIBOS library is a backend thread abstraction layer library which is static only. The CUDA::cublas_static, CUDA::cusparse_static, CUDA::cufft_static, CUDA::curand_static, and (when implemented) NPP libraries all automatically have this dependency linked.

Target Created:

• CUDA::culibos

Note: direct usage of this target by consumers should not be necessary.

Result variables

CUDAToolkit_FOUND

A boolean specifying whether or not the CUDA Toolkit was found.

CUDAToolkit_VERSION

The exact version of the CUDA Toolkit found (as reported by nvcc --version or version.txt).

CUDAToolkit_VERSION_MAJOR

The major version of the CUDA Toolkit.

CUDAToolkit_VERSION_MAJOR

The minor version of the CUDA Toolkit.

CUDAToolkit_VERSION_PATCH

The patch version of the CUDA Toolkit.

CUDAToolkit_BIN_DIR

The path to the CUDA Toolkit library directory that contains the CUDA executable nvcc.

CUDAToolkit_INCLUDE_DIRS

The path to the CUDA Toolkit include folder containing the header files required to compile a project linking against CUDA.

CUDAToolkit_LIBRARY_DIR

The path to the CUDA Toolkit library directory that contains the CUDA Runtime library cudart.

CUDAToolkit_LIBRARY_ROOT

The path to the CUDA Toolkit directory containing the nvvm directory and version.txt.

CUDAToolkit_TARGET_DIR

The path to the CUDA Toolkit directory including the target architecture when cross-compiling. When not cross-compiling this will be equivalent to the parent directory of CUDAToolkit_BIN_DIR.

CUDAToolkit_NVCC_EXECUTABLE

The path to the NVIDIA CUDA compiler nvcc. Note that this path may not be the same as CMAKE_CUDA_COMPILER. nvcc must be found to determine the CUDA Toolkit version as well as determining other features of the Toolkit. This variable is set for the convenience of modules that depend on this one.