replica
/
hanchenye-llvm-project
2
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
hanchenye-llvm-project/libclc
History
Aaron Watry 09f3c99a86 math: Fix ilogb(double) return type 
Signed-off-by: Aaron Watry <awatry@gmail.com>
Reviewed-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 261714
 		2016-02-24 00:52:15 +00:00
..
amdgcn/lib amdgcn: Use new workitem intrinsics 2016-02-17 00:27:27 +00:00
amdgpu/lib amdgcn: Use new workitem intrinsics 2016-02-17 00:27:27 +00:00
build
…
generic math: Fix ilogb(double) return type 2016-02-24 00:52:15 +00:00
ptx/lib
…
ptx-nvidiacl/lib
…
r600/lib amdgcn: Use new workitem intrinsics 2016-02-17 00:27:27 +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 page to list supported targets 2016-02-13 01:02:06 +00:00
.gitignore Add .gitignore for build directories 2016-02-17 00:27:31 +00:00
CREDITS.TXT
…
LICENSE.TXT
…
README.TXT
…
compile-test.sh
…
configure.py Split sources for amdgcn and r600 2016-02-13 01:01:59 +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/