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With the Makefile generator and particularly high build parallelism some intermediate dependencies may be generated redundantly and concurrently, leading to build failures. To fix this, arrange for libclc's add_custom_commands to depend on targets in addition to files. This follows CMake documentation's[^1] guidance on add_custom_command: > Do not list the output in more than one independent target that may > build in parallel or the instances of the rule may conflict. Instead, > use the add_custom_target() command to drive the command and make the > other targets depend on that one. Eliminating the redundant commands also improves build times. [^1]: https://cmake.org/cmake/help/v3.29/command/add_custom_command.html
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 ------- https://libclc.llvm.org/