CUDA Compilers (original) (raw)

In general, check the crt/host_config.h file to find out which versions are supported. Sometimes it is possible to hack the requirements there to get some newer versions working, too :)

Thrust version can be found in $CUDA_ROOT/include/thrust/version.h.

Download Archives: https://developer.nvidia.com/cuda-toolkit-archive

Release notes for CUDA Toolkit (CTK):

• latest: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
• archive: https://docs.nvidia.com/cuda/archive/
• 11.8.0: https://docs.nvidia.com/cuda/archive/11.8.0/
• 11.7.2: https://docs.nvidia.com/cuda/archive/11.7.1
• ...
• 11.5.1: https://docs.nvidia.com/cuda/archive/11.5.1/
• 11.4.2: https://docs.nvidia.com/cuda/archive/11.4.2/
• 11.4.1: https://docs.nvidia.com/cuda/archive/11.4.1/
• 11.4.0: https://docs.nvidia.com/cuda/archive/11.4.0/
• 11.3: https://docs.nvidia.com/cuda/archive/11.3.0/index.html
• 11.2: https://docs.nvidia.com/cuda/archive/11.2.2/index.html
• 11.1: https://docs.nvidia.com/cuda/archive/11.1.1/index.html
• 11.0: https://docs.nvidia.com/cuda/archive/11.0/cuda-toolkit-release-notes/index.html
• 10.2: https://developer.download.nvidia.com/compute/cuda/10.2/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 10.1: https://developer.download.nvidia.com/compute/cuda/10.1/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 10.0: https://developer.download.nvidia.com/compute/cuda/10.0/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 9.2: https://developer.download.nvidia.com/compute/cuda/9.2/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 9.1: https://developer.download.nvidia.com/compute/cuda/9.1/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 9.0: https://developer.download.nvidia.com/compute/cuda/9.0/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 8.0: https://developer.nvidia.com/compute/cuda/8.0/Prod2/docs/sidebar/CUDA_Toolkit_Release_Notes-pdf
• 7.5: http://developer.download.nvidia.com/compute/cuda/7.5/Prod/docs/sidebar/CUDA_Toolkit_Release_Notes.pdf
• 7.0: http://developer.download.nvidia.com/compute/cuda/7_0/Prod/doc/CUDA_Toolkit_Release_Notes.pdf
• 6.5: http://developer.download.nvidia.com/compute/cuda/6_5/rel/docs/CUDA_Toolkit_Release_Notes.pdf
• 6.0: http://developer.download.nvidia.com/compute/cuda/6_0/rel/docs/CUDA_Toolkit_Release_Notes.pdf
• 5.5: http://developer.download.nvidia.com/compute/cuda/5_5/rel/docs/CUDA_Toolkit_Release_Notes.pdf

Version notes Nvidia HPC SDK:

• https://docs.nvidia.com/hpc-sdk/hpc-sdk-release-notes/index.html

Compatibility Guarantees

Quote:

• CUDA 10.0: First introduced in CUDA 10, the CUDA Forward Compatible Upgrade is designed to allow users to get access to new CUDA features and run applications built with new CUDA releases on systems with older installations of the NVIDIA datacenter GPU driver.
• CUDA 11.1: First introduced in CUDA 11.1, CUDA Enhanced Compatibility provides two benefits:
  • By leveraging semantic versioning across components in the CUDA Toolkit, an application can be built for one CUDA minor release (such as 11.1) and work across all future minor releases within the major family (such as 11.x).
  • CUDA has relaxed the minimum driver version check and thus no longer requires a driver upgrade with minor releases of the CUDA Toolkit.
• CUDA 12.4: Starting in CUDA 12.4, the NVIDIA driver installation on Linux will be opt-in. The goal is to improve user experience for a wide range of use cases such as installing the open module flavor driver. The cuda-runtime dependency and therefore the cuda-drivers (NVIDIA driver) dependency will be removed from the top-level cuda meta-package. Effectively, the cuda and cuda-toolkit meta-packages will be equivalent in CUDA 12.4.

nvcc

Latest, officical Compiler requirements: http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html

SM: means SM architecture support.

pgc++: now NVHPC products, e.g., nvc/nvfortran/nvc++.

Note: empty cells generally mean "same as above" for readability.

macOS: As of 7.0, clang seems to be the only supported compiler on OSX (but no version check found). CUDA 10.1.243 adds support for Xcode 10.2 . CUDA 11.0 dropped macOS support.

Compilers such as pgC, icc, xlC are only supported on x86 linux and little endian.

Dynamic parallelism was added with sm_35 and CUDA 5.0.

Newer CUDA releases have a per-release support matrix for compilers, which also lists supported kernel and glibc versions: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements

clang++ -x cuda

clang++ can compile CUDA C++ to ptx as well. Give it a whirl!

https://llvm.org/docs/CompileCudaWithLLVM.html

Device-Side C++ Standard Support

C++ core language features:

CUDA-enabled C++ standard library libcu++, based on LLVM's libc++ (docs):

Incremental libcu++ release goals (GTC 2020):

• Version 1 (CUDA 10.2): <atomic>(SM6.0+), <type_traits>.
• Version 2 (CUDA next): atomic<T>::wait/notify, <barrier>, <latch>, <counting_semaphore>(SM7.0+), <chrono>, <ratio>, <functional>minus function.
• Future priorities: atomic_ref<T>, <complex>, <tuple>, <array>, <utility>, <cmath>, string processing, ...

NVC++

NVC++ is a unified C++ compiler and GPU-accelerated STL for the CUDA platform. It also seems to support OpenACC. NVC++ does currently not support the CUDA C++ language.

All GPU compilers are cheese.