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llvm-project/libclc
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Tom Stellard 7a09e88b6e Fix double implementation of log 
We need to use M_LOG2E instead of M_LOG2E_F.

llvm-svn: 243132
 		2015-07-24 18:07:14 +00:00
..
build Fixed ninja build issues relating to use of $(DESTDIR) 2014-01-29 20:03:26 +00:00
generic Fix double implementation of log 2015-07-24 18:07:14 +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: Implement accurate double precision sqrt v2 2015-07-10 13:37:08 +00:00
test Add rsqrt builtin. Based on patch by Cassie Epps! 2012-08-21 10:48:35 +00:00
utils prepare-builtins: Fix build with LLVM 3.6 2015-07-10 13:37:04 +00:00
www Switch to BSD/MIT dual license. 2012-02-22 04:47:39 +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
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 Allow compilation depending to the LLVM version 2015-04-29 15:37:06 +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/