forked from OSchip/llvm-project
1364d268a4
PTX does not differentiate between read and write fences. Hence, these a lowered to a mem_fence call. The mem_fence function compiles to the “member.cta” instruction, which commits all outstanding reads and writes of a thread such that these become visible to all other threads in the same CTA (i.e., work-group). The instruction does not differentiate between global and local memory. Hence, the flags parameter is ignored, except for deciding whether a “member.cta” instruction should be issued at all. Reviewed-by: Jan Vesely <jan.vesely@rutgers.edu> llvm-svn: 315235 |
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| .. | ||
| amdgcn/lib | ||
| amdgcn-amdhsa/lib | ||
| amdgpu/lib | ||
| build | ||
| generic | ||
| ptx/lib | ||
| ptx-nvidiacl/lib | ||
| r600/lib | ||
| test | ||
| utils | ||
| www | ||
| .gitignore | ||
| .travis.yml | ||
| CREDITS.TXT | ||
| LICENSE.TXT | ||
| README.TXT | ||
| check_external_calls.sh | ||
| 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/