forked from OSchip/llvm-project
f89bcca0b7
Ported from the libclc/amd-builtins branch
v2: Rename sincos_f_piby4 to __libclc__sincosf_piby4
Add cospi(double) implementation instead of using llvm.cos
Notes:
The sincosD_piby4.h file is mostly the same as the builtin implementation
released by AMD. The inline attribute declaration is changed, and M_PI is
used instead of a constant double. Otherwise, the only difference is that
the header explicitly enables the fp64 pragma.
Signed-off-by: Aaron Watry <awatry@gmail.com>
Reviewed-by: Jeroen Ketema <j.ketema@imperial.ac.uk>
CC: Tom Stellard <tom@stellard.net>
CC: Matt Arsenault <Matthew.Arsenault@amd.com>
llvm-svn: 230641
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| build | ||
| generic | ||
| ptx/lib | ||
| ptx-nvidiacl/lib | ||
| r600/lib | ||
| test | ||
| utils | ||
| www | ||
| CREDITS.TXT | ||
| LICENSE.TXT | ||
| README.TXT | ||
| compile-test.sh | ||
| configure.py | ||
README.TXT
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/