hanchenye-llvm-project/libclc
Jan Vesely 5f4feea910 travis: Add cmake build
Reviewer: Aaron Watry

Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 347668
2018-11-27 16:07:21 +00:00
..
amdgcn/lib amdgcn: Consolidate atomic minmax helpers 2018-11-27 16:01:13 +00:00
amdgcn-amdhsa/lib amdgcn-amdhsa: Convert get_{global,local}_size to clc for all llvm versions 2018-11-04 00:39:30 +00:00
amdgpu/lib Remove redundant OVERRRIDES file 2018-11-04 00:54:46 +00:00
build
cmake Add cmake build system 2018-11-27 16:07:19 +00:00
generic atom: Use volatile pointers for cl_khr_{global,local}_int32_{base,extended}_atomics 2018-06-21 19:27:39 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib r600: Remove empty OVERRIDES file 2018-11-27 16:01:16 +00:00
test
utils utils: Adapt to llvm r325155 2018-02-23 07:37:03 +00:00
www
.gitignore
.travis.yml travis: Add cmake build 2018-11-27 16:07:21 +00:00
CMakeLists.txt Add cmake build system 2018-11-27 16:07:19 +00:00
CREDITS.TXT
LICENSE.TXT Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
README.TXT
amdgcn-mesa3d configure: Provide symlink for amdgcn-mesa3d instead of configure hack 2018-11-04 00:54:45 +00:00
check_external_calls.sh
compile-test.sh
configure.py configure: Add target specific asm rule. 2018-11-27 16:01:10 +00:00
libclc.pc.in Add cmake build system 2018-11-27 16:07:19 +00:00

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/