Files
RedBear-OS/local/recipes/dev/libclc/source/README.md
T
vasilito f26371ae30 recipes: add libclc as a local Red Bear OS project (Cat 1)
libclc was vendored at recipes/dev/llvm21/source/libclc/ as a
build artifact of the llvm21 fork. This promoted it from an
implicit Mesa dependency (the CLC bitcode Mesa consumes) to a
first-class local project, mirroring how tlc, redbear-*, cub, etc.
are organized per local/AGENTS.md.

Local layout follows the existing in-house pattern:
  recipes/dev/libclc          -> ../../local/recipes/dev/libclc
  local/recipes/dev/libclc/recipe.toml
  local/recipes/dev/libclc/source/   (vendored from llvm-project)

The recipe builds libclc as a host-side CMake project using the
cookbook-sysroot clang21 binary (not the cross-compiler) to compile
OpenCL kernels to .bc bitcode. Output targets are amdgcn, amdgcn-amdhsa,
r600, generic, and spirv — the union that Mesa's clc tool consumes
for the iris/radeonsi/llvmpipe drivers. ptx-nvidiacl and clspv are
excluded because they don't map onto any Mesa hardware driver.

The recipe also wires the cookbook's native-cmake generation with
an override that points CMAKE_C_COMPILER etc. at the cookbook
sysroot's clang-21 binary. This is needed because libclc must
run on the build host (output is bitcode, not a Redox binary),
and the cookbook's default cross-toolchain would link the build
against relibc instead of host glibc.

libclc.pc is installed at usr/lib/pkgconfig/, satisfying Mesa's
dependency('libclc') lookup. The .bc files are installed under
usr/share/clc/, which is what the libclc.pc libexecdir pointer
(libexecdir=<prefix>/share/clc) expects.

This is the prerequisite for re-enabling iris, radeonsi, and the
Intel Vulkan driver in the Mesa recipe (Phase 4-6 of
local/docs/3D-DRIVER-PLAN.md). With libclc available in the
cross-sysroot, mesa's meson '-Dwith_clc -> dependency(libclc)'
resolves and the gallium drivers compile.
2026-07-25 14:29:34 +09:00

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Markdown

# libclc
libclc is an open source implementation of the library
requirements of the OpenCL C programming language, as specified by the
OpenCL 1.1 Specification. The following sections of the specification
impose library requirements:
* 6.1: Supported Data Types
* 6.2.3: Explicit Conversions
* 6.2.4.2: Reinterpreting Types Using as_type() and as_typen()
* 6.9: Preprocessor Directives and Macros
* 6.11: Built-in Functions
* 9.3: Double Precision Floating-Point
* 9.4: 64-bit Atomics
* 9.5: Writing to 3D image memory objects
* 9.6: Half Precision Floating-Point
libclc is intended to be used with the Clang compiler's OpenCL frontend.
libclc is designed to be portable and extensible. To this end, it provides
generic implementations of most library requirements, allowing the target
to override the generic implementation at the granularity of individual
functions.
libclc currently supports PTX, AMDGPU, SPIRV and CLSPV targets, but support for
more targets is welcome.
## Compiling and installing
(in the following instructions you can use `make` or `ninja`)
For an in-tree build, Clang must also be built at the same time:
```
$ cmake <path-to>/llvm-project/llvm/CMakeLists.txt -DLLVM_ENABLE_PROJECTS="libclc;clang" \
-DCMAKE_BUILD_TYPE=Release -G Ninja
$ ninja
```
Then install:
```
$ ninja install
```
Note you can use the `DESTDIR` Makefile variable to do staged installs.
```
$ DESTDIR=/path/for/staged/install ninja install
```
To build out of tree, or in other words, against an existing LLVM build or install:
```
$ cmake <path-to>/llvm-project/libclc/CMakeLists.txt -DCMAKE_BUILD_TYPE=Release \
-G Ninja -DLLVM_DIR=$(<path-to>/llvm-config --cmakedir)
$ ninja
```
Then install as before.
In both cases this will include all supported targets. You can choose which
targets are enabled by passing `-DLIBCLC_TARGETS_TO_BUILD` to CMake. The default
is `all`.
In both cases, the LLVM used must include the targets you want libclc support for
(`AMDGPU` and `NVPTX` are enabled in LLVM by default). Apart from `SPIRV` where you do
not need an LLVM target but you do need the
[llvm-spirv tool](https://github.com/KhronosGroup/SPIRV-LLVM-Translator) available.
Either build this in-tree, or place it in the directory pointed to by
`LLVM_TOOLS_BINARY_DIR`.
## Website
https://libclc.llvm.org/