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llvm-capstone/libclc
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Jan Vesely 943057a288 integer/clz: Use clang builtin instead of llvm asm 
The generated llvm IR mostly identical. char/uchar case is a bit worse.

reviewer: Tom Stellard

Signed-off-by: Jan Vesely <jan.vesely@rutgers.edu>
llvm-svn: 314701
2017-10-02 18:38:57 +00:00
..
amdgcn/lib Let get_work_dim take exactly 0 arguments 2017-10-01 20:11:46 +00:00
amdgcn-amdhsa/lib Fix amdgcn-amdhsa on llvm-3.9 2017-09-29 19:06:52 +00:00
amdgpu/lib Restore support for llvm-3.9 2017-09-29 19:06:41 +00:00
build configure.py: Make python3 friendly 2017-08-02 15:00:59 +00:00
generic integer/clz: Use clang builtin instead of llvm asm 2017-10-02 18:38:57 +00:00
ptx/lib
ptx-nvidiacl/lib AMDGPU: Implement get_global_offset builtin 2016-07-22 17:24:24 +00:00
r600/lib Let get_work_dim take exactly 0 arguments 2017-10-01 20:11:46 +00:00
test
utils Restore support for llvm-3.9 2017-09-29 19:06:41 +00:00
www
.gitignore .gitignore: Ignore amdgcn-mesa object directory 2017-02-24 20:32:18 +00:00
.travis.yml Fix amdgcn-amdhsa on llvm-3.9 2017-09-29 19:06:52 +00:00
check_external_calls.sh Add script to check for unresolved function calls 2017-09-29 19:06:48 +00:00
compile-test.sh
configure.py Restore support for llvm-3.9 2017-09-29 19:06:41 +00:00
CREDITS.TXT
LICENSE.TXT
README.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/