hanchenye-llvm-project/libclc
Jeroen Ketema 80d2e8ffc1 Move BufferPtr into the block where it it being used
The previous location outside the block would crash prepare-builtins
when no the builtins file accidentially not passed on the command line.

llvm-svn: 294916
2017-02-12 21:33:49 +00:00
..
amdgcn/lib amdgcn: Fix return type of get_num_groups 2016-08-25 07:31:40 +00:00
amdgcn-amdhsa/lib amdgcn-amdhsa: Add get_num_groups implementation 2016-09-16 22:43:31 +00:00
amdgpu/lib Replace nextafter implementation 2016-09-08 16:37:56 +00:00
build
generic Add the correct prefixes to the cl_khr_fp64 pragma 2017-02-12 21:31:41 +00:00
ptx/lib
ptx-nvidiacl/lib AMDGPU: Implement get_global_offset builtin 2016-07-22 17:24:24 +00:00
r600/lib amdgcn: Fix return type of get_num_groups 2016-08-25 07:31:40 +00:00
test
utils Move BufferPtr into the block where it it being used 2017-02-12 21:33:49 +00:00
www
.gitignore [AMDGPU] Implement get_local_size for amdgcn--amdhsa triple 2016-04-07 19:54:19 +00:00
CREDITS.TXT
LICENSE.TXT Update copyright year to 2016. 2016-03-30 22:39:03 +00:00
README.TXT
compile-test.sh
configure.py Fix build since llvm r286566 and require at least llvm 4.0 2016-11-11 21:34:47 +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/