mirror of
https://github.com/capstone-engine/llvm-capstone.git
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d0ed9a9d3a
Summary: We passed `-fopenmp-target=` when we compiled the bitcode, which isn't necessary since the 15 release. Also adjust an error message. |
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cmake/Modules | ||
DeviceRTL | ||
docs | ||
include | ||
plugins | ||
plugins-nextgen | ||
src | ||
test | ||
tools | ||
utils | ||
CMakeLists.txt | ||
README.txt |
README for the LLVM* OpenMP* Offloading Runtime Library (libomptarget) ====================================================================== How to Build the LLVM* OpenMP* Offloading Runtime Library (libomptarget) ======================================================================== In-tree build: $ cd where-you-want-to-live Check out openmp (libomptarget lives under ./libomptarget) into llvm/projects $ cd where-you-want-to-build $ mkdir build && cd build $ cmake path/to/llvm -DCMAKE_C_COMPILER=<C compiler> -DCMAKE_CXX_COMPILER=<C++ compiler> $ make omptarget Out-of-tree build: $ cd where-you-want-to-live Check out openmp (libomptarget lives under ./libomptarget) $ cd where-you-want-to-live/openmp/libomptarget $ mkdir build && cd build $ cmake path/to/openmp -DCMAKE_C_COMPILER=<C compiler> -DCMAKE_CXX_COMPILER=<C++ compiler> $ make For details about building, please look at README.rst in the parent directory. Architectures Supported ======================= The current library has been only tested in Linux operating system and the following host architectures: * Intel(R) 64 architecture * IBM(R) Power architecture (big endian) * IBM(R) Power architecture (little endian) * ARM(R) AArch64 architecture (little endian) The currently supported offloading device architectures are: * Intel(R) 64 architecture (generic 64-bit plugin - mostly for testing purposes) * IBM(R) Power architecture (big endian) (generic 64-bit plugin - mostly for testing purposes) * IBM(R) Power architecture (little endian) (generic 64-bit plugin - mostly for testing purposes) * ARM(R) AArch64 architecture (little endian) (generic 64-bit plugin - mostly for testing purposes) * CUDA(R) enabled 64-bit NVIDIA(R) GPU architectures Supported RTL Build Configurations ================================== Supported Architectures: Intel(R) 64, IBM(R) Power 7 and Power 8 --------------------------- | gcc | clang | --------------|------------|------------| | Linux* OS | Yes(1) | Yes(2) | ----------------------------------------- (1) gcc version 4.8.2 or later is supported. (2) clang version 3.7 or later is supported. Front-end Compilers that work with this RTL =========================================== The following compilers are known to do compatible code generation for this RTL: - clang (from https://github.com/clang-ykt ) - clang (development branch at http://clang.llvm.org - several features still under development) ----------------------------------------------------------------------- Notices ======= This library and related compiler support is still under development, so the employed interface is likely to change in the future. *Other names and brands may be claimed as the property of others.