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llvm-capstone/libclc
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Niels Ole Salscheider f51df5ba8c Implement tanh builtin 
This is a port from the AMD builtin library.

llvm-svn: 248780
2015-09-29 06:39:09 +00:00
..
build Fixed ninja build issues relating to use of $(DESTDIR) 2014-01-29 20:03:26 +00:00
generic Implement tanh builtin 2015-09-29 06:39:09 +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 Add barrier.cl to SOURCES, spotted by Jin Wang. 2012-09-05 18:13:55 +00:00
r600/lib r600: Add image writing builtins. 2015-09-21 14:59:56 +00:00
test Add rsqrt builtin. Based on patch by Cassie Epps! 2012-08-21 10:48:35 +00:00
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
compile-test.sh Fix build against recent versions of Clang. Based on patch by Alastair Donaldson! 2012-12-05 07:39:02 +00:00
configure.py Require LLVM >=3.7 and bump version to 0.2.0 2015-08-07 08:31:37 +00:00
CREDITS.TXT
LICENSE.TXT Update the copyright credits -- Happy new year 2014! 2014-01-01 08:27:31 +00:00
README.TXT Updated README.TXT with information about using DESTDIR and building with Ninja. 2014-01-29 20:03:28 +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/