Install this version:
emerge -a =dev-libs/cccl-3.3.4
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-libs/cccl-3.3.4
Or alternatively:
emerge --autounmask-write -a =dev-libs/cccl-3.3.4
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 3.3.4 | 8 | ~amd64 | 0 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
inherit cmake
DESCRIPTION="CUDA Core Compute Libraries"
HOMEPAGE="https://github.com/NVIDIA/cccl"
SRC_URI="https://github.com/NVIDIA/cccl/archive/refs/tags/v${PV}.tar.gz -> ${P}.tar.gz"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64"
src_configure() {
local mycmakeargs=(
#-B build
#-S ${P}
-W no-dev
-DCMAKE_BUILD_TYPE=None
-DCMAKE_INSTALL_PREFIX=/usr
-DCMAKE_INSTALL_INCLUDEDIR=include/${PN}
-DCCCL_ENABLE_EXAMPLES=OFF
-DCCCL_ENABLE_TESTING=OFF
-DTHRUST_ENABLE_EXAMPLES=OFF
-DTHRUST_ENABLE_HEADER_TESTING=OFF
-DTHRUST_ENABLE_TESTING=OFF
-DCUB_ENABLE_EXAMPLES=OFF
-DCUB_ENABLE_HEADER_TESTING=OFF
-DCUB_ENABLE_TESTING=OFF
-DLIBCUDACXX_ENABLE_LIBCUDACXX_TESTS=OFF
# controls only enable_language(CUDA) in CMake, but we don't build anything
-DLIBCUDACXX_ENABLE_CUDA=OFF
)
cmake_src_configure
}
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | cccl-3.3.4.tar.gz | 10179953 bytes | https://github.com/NVIDIA/cccl/archive/refs/tags/v3.3.4.tar.gz |