llvm-project/libclc
Jan Vesely 4c59714a52 Make min follow the OCL 1.0 specs
OpenCL 1.0: "Returns y if y < x, otherwise it returns x. If x *and* y
are infinite or NaN, the return values are undefined."

OpenCL 1.1+: "Returns y if y < x, otherwise it returns x. If x *or* y
are infinite or NaN, the return values are undefined."

The 1.0 version is stricter so use that one.

Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 276704
2016-07-25 22:36:22 +00:00
..
amdgcn/lib AMDGPU: Implement get_global_offset builtin 2016-07-22 17:24:24 +00:00
amdgcn-amdhsa/lib [AMDGPU] Implement get_local_size for amdgcn--amdhsa triple 2016-04-07 19:54:19 +00:00
amdgpu/lib AMDGPU: Use clang intrinsics for workitem builtins 2016-07-22 17:24:20 +00:00
build Fixed ninja build issues relating to use of $(DESTDIR) 2014-01-29 20:03:26 +00:00
generic Make min follow the OCL 1.0 specs 2016-07-25 22:36:22 +00:00
ptx/lib libclc: Rename [add|sub]_sat.ll to [add|sub]_sat_if.ll 2013-06-26 18:21:31 +00:00
ptx-nvidiacl/lib AMDGPU: Implement get_global_offset builtin 2016-07-22 17:24:24 +00:00
r600/lib AMDGPU: Implement get_global_offset builtin 2016-07-22 17:24:24 +00:00
test
utils prepare-builtins: Remove call to getGlobalContext() 2016-04-15 14:18:58 +00:00
www Update page to list supported targets 2016-02-13 01:02:06 +00:00
.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 Updated README.TXT with information about using DESTDIR and building with Ninja. 2014-01-29 20:03:28 +00:00
compile-test.sh
configure.py configure: Remove device specific defines 2016-06-17 20:30:50 +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/