OpenMP Support
- Cuda devices support

Clang fully supports OpenMP 4.5. Clang supports offloading to X86_64, AArch64,PPC64[LE] and has basic support for Cuda devices.

OMP (Open Music Player) is an open-source music player for Linux. It's in an unstable pre-alpha state. OMP is programmed in modern C and some C using GTK, GStreamer, TagLib, libconfig, libclastfm, and standard C and C libraries. It can play most of the prevalent music audio file types gaplessly and stores tracks in a database. On a mac, the command gcc is a symlink to Clang. So by calling gcc -fopenmp -o yourprogram yourprogram.c you are in fact using Clang, which until now has not had built-in support for OpenMP. The newer versions of Clang do have support for OpenMP according to this post (where you can also find instructions on how to set it up). On the other hand, if you still want to use gcc I can guide you.

Omp Formula Quadro

#pragma omp [for] simd: Complete.
#pragma omp declare simd: Partial. We support parsing/semanticanalysis + generation of special attributes for X86 target, but stillmissing the LLVM pass for vectorization.
#pragma omp taskloop [simd]: Complete.
#pragma omp target [enter|exit] data: Complete.
#pragma omp target update: Complete.
#pragma omp target: Complete.
#pragma omp declare target: Complete.
#pragma omp teams: Complete.
#pragma omp distribute [simd]: Complete.
#pragma omp distribute parallel for [simd]: Complete.

#pragma omp parallel for simd: Complete.
#pragma omp target parallel: Complete.
#pragma omp target parallel for [simd]: Complete.
#pragma omp target simd: Complete.
#pragma omp target teams: Complete.
#pragma omp teams distribute [simd]: Complete.
#pragma omp target teams distribute [simd]: Complete.
#pragma omp teams distribute parallel for [simd]: Complete.
#pragma omp target teams distribute parallel for [simd]: Complete.

Clang does not support any constructs/updates from upcoming OpenMP 5.0 exceptfor reduction-based clauses in the task and target-based directives.

In addition, the LLVM OpenMP runtime libomp supports the OpenMP ToolsInterface (OMPT) on x86, x86_64, AArch64, and PPC64 on Linux, Windows, and mac OS.ows, and mac OS.

Clang code generation for target regions supports two modes: the SPMD andnon-SPMD modes. Clang chooses one of these two modes automatically based on theway directives and clauses on those directives are used. The SPMD mode uses asimplified set of runtime functions thus increasing performance at the cost ofsupporting some OpenMP features. The non-SPMD mode is the most generic mode andsupports all currently available OpenMP features. The compiler will alwaysattempt to use the SPMD mode wherever possible. SPMD mode will not be used if:

The target region contains an if() clause that refers to a paralleldirective.
The target region contains a parallel directive with a num_threads()clause.
The target region contains user code (other than OpenMP-specificdirectives) in between the target and the parallel directives.

Clang supports two data-sharing models for Cuda devices: Generic and Cudamodes. The default mode is Generic. Cuda mode can give an additionalperformance and can be activated using the -fopenmp-cuda-mode flag. InGeneric mode all local variables that can be shared in the parallel regionsare stored in the global memory. In Cuda mode local variables are not sharedbetween the threads and it is user responsibility to share the required databetween the threads in the parallel regions.

Openmp For Mac

Reductions across the teams are not supported yet.
Cancellation constructs are not supported.
Doacross loop nest is not supported.
User-defined reductions are supported only for trivial types.
Nested parallelism: inner parallel regions are executed sequentially.
Static linking of libraries containing device code is not supported yet.
Automatic translation of math functions in target regions to device-specificmath functions is not implemented yet.
Debug information for OpenMP target regions is not supported yet.

Omp For Mac