llvm-capstone/libclc
Jan Vesely 0ecb5e511e math.h: Set HAVE_HW_FMA32 based on compiler provided macro
Fixes sin/cos piglits on non-FMA capable asics.
Bugzilla: https://bugs.llvm.org/show_bug.cgi?id=35983

Reviewer: Tom Stellard
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 323677
2018-01-29 19:05:08 +00:00
..
amdgcn/lib amdgcn: Add missing datalayout info to .ll files 2017-10-20 21:10:18 +00:00
amdgcn-amdhsa/lib
amdgpu/lib amdgpu: Add workaround for unimplemented llvm.exp intrinsic 2017-11-10 22:16:25 +00:00
build
generic math.h: Set HAVE_HW_FMA32 based on compiler provided macro 2018-01-29 19:05:08 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib
test
utils
www
.gitignore
.travis.yml
check_external_calls.sh
compile-test.sh
configure.py configure.py: Add gfx900 (Vega, Raven) 2017-11-27 11:14:06 +00:00
CREDITS.TXT
LICENSE.TXT
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/