hanchenye-llvm-project/libclc
Jan Vesely 70c5f9dff8 configure: Rework support for gfx9+ devices that were added post LLVM 3.9
v2: Fix reference to Vega12/20 enabling commit

Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
Reviewer: Aaron Watry
llvm-svn: 342341
2018-09-15 22:02:01 +00:00
..
amdgcn/lib amdgcn: Use __constant AS for amdgcn builtins. 2018-08-03 15:14:08 +00:00
amdgcn-amdhsa/lib amdgcn: Use __constant AS for amdgcn builtins. 2018-08-03 15:14:08 +00:00
amdgpu/lib Add initial support for half precision builtins 2018-05-17 22:55:30 +00:00
build
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/fmin: Flush denormals before calling builtin. 2018-06-07 20:27:58 +00:00
test
utils utils: Adapt to llvm r325155 2018-02-23 07:37:03 +00:00
www
.gitignore
.travis.yml .travis: Add llvm-7 build 2018-09-15 20:00:37 +00:00
CREDITS.TXT
LICENSE.TXT Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
README.TXT
check_external_calls.sh
compile-test.sh
configure.py configure: Rework support for gfx9+ devices that were added post LLVM 3.9 2018-09-15 22:02:01 +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/