cuda

Local USE flag

Packages describing “cuda” as local USE flag

Package “cuda” Flag Description
dev-cpp/eigen Build with cuda support
dev-libs/libdynd Enable NVIDIA CUDA toolkit support
dev-libs/libflatarray Enables plugins for NVIDIA GPUs (e.g. CUDAAllocator)
dev-libs/libgpuarray Enable NVIDIA CUDA toolkit support
dev-libs/starpu Enable NVIDIA CUDA toolkit support
dev-python/pygpu Enable NVIDIA CUDA toolkit support
dev-util/nvidia-cuda-sdk Build CUDA binaries
media-gfx/blender Build cycles renderer with nVidia CUDA support.
media-libs/opencv Enable NVIDIA Cuda computations support (Experimental!)
media-libs/opensubdiv Enable NVIDIA CUDA Toolkit support through dev-util/nvidia-cuda-toolkit.
media-video/ffmpeg Enables CUDA-based acceleration. Mostly used for specific filters.
media-video/mpv Enable hardware video decoding via Nvidia CUDA
net-analyzer/suricata Enable NVIDIA Cuda computations support
net-p2p/xmr-stak Enable NVIDIA CUDA toolkit support
net-wireless/pyrit Enable CUDA support via net-wireless/cpyrit-cuda
sci-chemistry/gromacs Enable cuda non-bonded kernels
sci-chemistry/vmd Use nvidia cuda toolkit for speeding up computations
sci-libs/cholmod Use nvidia cuda toolkit for speeding up computations
sci-libs/dealii Add support for cuda assimp (dev-util/nvidia-cuda-sdk)
sci-libs/dlib Enable support for CUDA for Deep Neural Networks (cuDNN) on GPU (experimental)
sci-libs/flann Enable support for nVidia CUDA
sci-libs/libgeodecomp Enables plugins for NVIDIA GPUs
sci-libs/pcl Adds support for NVIDIA CUDA.
sci-libs/suitesparse Enable nvidia cuda toolkit for speeding up computations
sci-libs/tensorflow Enable support for nVidia CUDA
sci-libs/trilinos Add support for cuda (dev-util/nvidia-cuda-toolkit)
sci-misc/boinc Use nvidia cuda toolkit for speeding up computations. NOTE: works only for subset of nvidia graphic cards so make sure your card is supported before opening a bug about it.
sci-physics/espresso Enable cuda support
sci-physics/lammps Enable cuda non-bonded kernels
sci-physics/root Enable support for nVidia CUDA
sys-apps/hwloc Enable CUDA device discovery
sys-cluster/openmpi Add GPU direct support
sys-libs/libomp Build CUDA offloading plugin (only with USE=offload)