llvm/libclc
Daniel Stone 24fad7278a libclc: Use temporary files rather than a pipe
This is required for using the Ninja backend on Windows, as it passes
commands directly to CreateProcess, and does not allow the shell to
interpret them: https://ninja-build.org/manual.html#ref_rule_command

Using the Visual Studio backend is not possible as attempting to create
a static library target comprised entirely of novel languages not known
to the Visual Studio backend built in to CMake's C++ source will
generate nothing at all.

reviewer: jvesely
Differential Revision: https://reviews.llvm.org/D77165
2020-04-14 10:03:27 -04:00
..
amdgcn/lib
amdgcn-amdhsa/lib
amdgpu/lib
cmake libclc: Use temporary files rather than a pipe 2020-04-14 10:03:27 -04:00
generic libclc: Use acos implementation from amd_builtins 2020-02-20 23:36:14 -05:00
ptx/lib
ptx-nvidiacl/lib
r600/lib libclc/r600: Use target specific builtins to implement rsqrt and native_rsqrt 2020-02-09 14:42:15 -05:00
test
utils
www
.gitignore
amdgcn-mesa3d
check_external_calls.sh
CMakeLists.txt libclc: Fix LLVM library linking on Windows 2020-04-14 10:03:27 -04:00
compile-test.sh
CREDITS.TXT
libclc.pc.in
LICENSE.TXT
README.TXT

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libclc
------

libclc is an open source, BSD licensed 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 only supports the PTX target, but support for more
targets is welcome.

Compiling and installing with Make
----------------------------------

$ ./configure.py --with-llvm-config=/path/to/llvm-config && make
$ make install

Note you can use the DESTDIR Makefile variable to do staged installs.

$ make install DESTDIR=/path/for/staged/install

Compiling and installing with Ninja
-----------------------------------

$ ./configure.py -g ninja --with-llvm-config=/path/to/llvm-config && ninja
$ ninja install

Note you can use the DESTDIR environment variable to do staged installs.

$ DESTDIR=/path/for/staged/install ninja install

Website
-------

http://www.pcc.me.uk/~peter/libclc/