hanchenye-llvm-project/libclc
Jan Vesely 8382e5bc48 atom: Use volatile pointers for cl_khr_{global,local}_int32_{base,extended}_atomics
int64 versions were switched to volatile pointers in cl1.1
cl1.1 also renamed atom_ functions to atomic_ that use volatile pointers.
CTS and applications use volatile pointers.

Passes CTS on carrizo
no return piglit tests still pass on turks.

Reviewed-By: Aaron Watry <awatry@gmail.com>
Tested-By: Aaron Watry <awatry@gmail.com>
Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 335280
2018-06-21 19:27:39 +00:00
..
amdgcn/lib Add initial support for half precision builtins 2018-05-17 22:55:30 +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 Add initial support for half precision builtins 2018-05-17 22:55:30 +00:00
build
generic atom: Use volatile pointers for cl_khr_{global,local}_int32_{base,extended}_atomics 2018-06-21 19:27:39 +00:00
ptx/lib
ptx-nvidiacl/lib
r600/lib r600/fmin: Flush denormals before calling builtin. 2018-06-07 20:27:58 +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 Update copyright year to 2018. 2018-06-18 12:22:17 +00:00
README.TXT
check_external_calls.sh
compile-test.sh
configure.py

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/