hanchenye-llvm-project/libclc
Tom Stellard 6378f7a5e2 Add definition for M_PI_F v3
v2:
  - Use a hexadecimal constant.

v3:
  - Use a hexadecimal constant in floating-point notation.

llvm-svn: 204666
2014-03-24 20:36:44 +00:00
..
build Fixed ninja build issues relating to use of $(DESTDIR) 2014-01-29 20:03:26 +00:00
generic Add definition for M_PI_F v3 2014-03-24 20:36:44 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib R600: Set the noduplicate attribute on barrier() intrinsics 2013-10-31 15:50:48 +00:00
test
utils Fix build since r202052 2014-02-24 21:31:56 +00:00
www
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
configure.py Add generic nvptx targets 2014-02-14 20:33:53 +00:00

README.TXT

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

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/