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Package Details: adaptivecpp 25.02.0-3
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Git Clone URL: | https://aur.archlinux.org/adaptivecpp.git (read-only, click to copy) |
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Package Base: | adaptivecpp |
Description: | A modern, community-driven platform for C++-based heterogeneous programming models targeting CPUs and GPUs from all major vendors. |
Upstream URL: | https://github.com/AdaptiveCpp/AdaptiveCpp |
Licenses: | BSD-2-Clause |
Conflicts: | adaptivecpp-git |
Submitter: | solanki |
Maintainer: | solanki |
Last Packager: | solanki |
Votes: | 4 |
Popularity: | 0.047585 |
First Submitted: | 2024-06-17 19:00 (UTC) |
Last Updated: | 2025-06-25 15:00 (UTC) |
Dependencies (18)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR)
- gcc-libs (gcc-libs-gitAUR, gccrs-libs-gitAUR, gcc-libs-snapshotAUR)
- glibc (glibc-gitAUR, glibc-linux4AUR, glibc-eacAUR)
- hip-runtime-amd (opencl-amdAUR)
- level-zero-loader (level-zero-loader-legacyAUR, level-zero-loader-gitAUR)
- llvm-libs (llvm-libs-gitAUR)
- numactl (numactl-gitAUR)
- nvidia-utils (nvidia-410xx-utilsAUR, nvidia-440xx-utilsAUR, nvidia-430xx-utilsAUR, nvidia-340xx-utilsAUR, nvidia-535xx-utilsAUR, nvidia-470xx-utilsAUR, nvidia-utils-teslaAUR, nvidia-550xx-utilsAUR, nvidia-565xx-utilsAUR, nvidia-525xx-utilsAUR, nvidia-510xx-utilsAUR, nvidia-vulkan-utilsAUR, nvidia-390xx-utilsAUR, nvidia-utils-betaAUR)
- ocl-icd (khronos-ocl-icd-gitAUR, opencl-icd-loaderAUR)
- python (python37AUR)
- boost (boost-gitAUR) (make)
- cmake (cmake3AUR, cmake-gitAUR) (make)
- doxygen (doxygen-gitAUR) (make)
- git (git-gitAUR, git-glAUR) (make)
- level-zero-headers (level-zero-headers-legacyAUR, level-zero-headers-gitAUR) (make)
- llvm (llvm-gitAUR, llvm-minimal-gitAUR) (make)
- openmp (make)
- rocm-llvm (opencl-amd-devAUR) (make)
Latest Comments
captain_unicode commented on 2025-06-05 11:40 (UTC)
For me, the package does not build with CUDA and ROCM support without the extra cmake flags
-DCUDAToolkit_ROOT=/opt/cuda -DROCM_PATH=/opt/rocm
Maybe you could add these? The reason that it does not work is that adaptivecpp switched to FindCUDAToolkit internally, which does not work with the default cuda package install.