hanchenye-llvm-project/libclc
Jan Vesely 70a270da5f Add initial support for half precision builtins
v2: fix fmax implementation
    use consistent checks for __CLC_FP_SIZE
    add missing TODOs
    fix whitespace in definitions.h
v3: undef ZERO in modf.inc

Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
reviewer: Jeroen Ketema <j.ketema@xs4all.nl>
Reviewed-by: Aaron Watry <awatry@gmail.com>
Tested-by: Aaron Watry <awatry@gmail.com>
llvm-svn: 332677
2018-05-17 22:55:30 +00:00
..
amdgcn/lib Add initial support for half precision builtins 2018-05-17 22:55:30 +00:00
amdgcn-amdhsa/lib amdgcn: Fix build after GDS/const AS swap in r325030 2018-02-23 07:37:01 +00:00
amdgpu/lib Add initial support for half precision builtins 2018-05-17 22:55:30 +00:00
build
generic Add initial support for half precision builtins 2018-05-17 22:55:30 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib r600: Update datalayout after LLVM r328656 2018-04-05 14:47:57 +00:00
test
utils utils: Adapt to llvm r325155 2018-02-23 07:37:03 +00:00
www
.gitignore
.travis.yml travis: Add build using llvm-6 2018-03-12 19:46:48 +00:00
CREDITS.TXT
LICENSE.TXT
README.TXT
check_external_calls.sh
compile-test.sh
configure.py

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/