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Jan Vesely 96591b6202 powr: Use denormal path only 
It's OK to either flush to 0 or return denormal result if the device
does not support denormals. See sec 7.2 and 7.5.3 of OCL specs
Fixes CTS on carrizo and turks.
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
Reviewer: Aaron Watry <awatry@gmail.com>

llvm-svn: 330207
 		2018-04-17 19:35:32 +00:00
..
amdgcn/lib amdgcn/fmin: Fix typos that reduced precision 2018-04-17 18:11:29 +00:00
amdgcn-amdhsa/lib amdgcn: Fix build after GDS/const AS swap in r325030 2018-02-23 07:37:01 +00:00
amdgpu/lib amdgpu/half_recip: Switch implementation to native_recip 2018-02-13 22:09:46 +00:00
build
…
generic powr: Use denormal path only 2018-04-17 19:35:32 +00:00
ptx/lib ptx: Use __clc_nextafter to implement nextafter 2017-10-08 19:34:00 +00:00
ptx-nvidiacl/lib Implement mem_fence on ptx 2017-10-09 19:43:04 +00:00
r600/lib r600: Update datalayout after LLVM r328656 2018-04-05 14:47:57 +00:00
test
…
utils utils: Adapt to llvm r325155 2018-02-23 07:37:03 +00:00
www
…
.gitignore
…
.travis.yml travis: Add build using llvm-6 2018-03-12 19:46:48 +00:00
CREDITS.TXT
…
LICENSE.TXT
…
README.TXT
…
check_external_calls.sh check_external_calls.sh: Print number of calls in tested file. 2017-10-08 20:07:56 +00:00
compile-test.sh
…
configure.py configure.py: Add gfx900 (Vega, Raven) 2017-11-27 11:14:06 +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/