hanchenye-llvm-project/libclc
Aaron Watry 23faa5a1f9 integer: remove explicit casts from _MIN definitions
The spec says (section 6.12.3, CL version 1.2):
  The macro names given in the following list must use the values
  specified. The values shall all be constant expressions suitable
  for use in #if preprocessing directives.

This commit addresses the second part of that statement.

Reviewed-by: Jan Vesely <jan.vesely@rutgers.edu>
Reviewed-by: Tom Stellard <tom@stellard.net>
CC: Moritz Pflanzer <moritz.pflanzer14@imperial.ac.uk>
CC: Serge Martin <edb+libclc@sigluy.net>
llvm-svn: 249445
2015-10-06 19:12:12 +00:00
..
build
generic integer: remove explicit casts from _MIN definitions 2015-10-06 19:12:12 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib r600: Add image writing builtins. 2015-09-21 14:59:56 +00:00
test
utils Require LLVM >=3.7 and bump version to 0.2.0 2015-08-07 08:31:37 +00:00
www Update mailing list reference. 2015-08-24 22:43:24 +00:00
CREDITS.TXT
LICENSE.TXT
README.TXT
compile-test.sh
configure.py Require LLVM >=3.7 and bump version to 0.2.0 2015-08-07 08:31:37 +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/