OpenMP

E59596

application programming interface parallel programming model shared-memory programming model

OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (11)

Label	Occurrences
OpenMP canonical	9
OpenMP Architecture Review Board	4
OpenMP 2.0	1
OpenMP 3.0	1
OpenMP 4.0	1
OpenMP 4.5	1
OpenMP 5.1	1
OpenMP 5.2	1
OpenMP API specification	1
OpenMP runtime	1
OpenMP target offload	1

How this entity was disambiguated

This entity first appeared as the object of triple T477785 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: OpenMP
Context triple: [GNU Compiler Collection, supportsLanguage, OpenMP]

A. NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
B. C++
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
C. GNU Compiler Collection
The GNU Compiler Collection (GCC) is a widely used, free and open-source compiler system that supports numerous programming languages and platforms, forming a core component of the GNU toolchain and much of the open-source software ecosystem.
D. STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
E. DirectX
DirectX is a collection of application programming interfaces (APIs) developed by Microsoft that enables high-performance handling of graphics, sound, and other multimedia tasks, especially for games, on Windows platforms.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: OpenMP
Target entity description: OpenMP is an application programming interface that supports multi-platform shared-memory parallel programming in C, C++, and Fortran.

A. NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
B. C++
C++ is a high-performance, general-purpose programming language widely used for system/software development, game engines, and performance-critical applications.
C. GNU Compiler Collection
The GNU Compiler Collection (GCC) is a widely used, free and open-source compiler system that supports numerous programming languages and platforms, forming a core component of the GNU toolchain and much of the open-source software ecosystem.
D. STL
STL is a common abbreviation and nickname for the city of St. Louis, Missouri.
E. DirectX
DirectX is a collection of application programming interfaces (APIs) developed by Microsoft that enables high-performance handling of graphics, sound, and other multimedia tasks, especially for games, on Windows platforms.
F. None of above. chosen

Statements (48)

Predicate	Object
instanceOf	application programming interface ⓘ parallel programming model ⓘ shared-memory programming model ⓘ
abbreviationFor	Open Multi-Processing ⓘ
governedBy	OpenMP self-linksurface differs ⓘ surface form: OpenMP Architecture Review Board
hasDesignGoal	ease of use for parallel programming ⓘ incremental parallelization of existing code ⓘ portability across shared-memory architectures ⓘ
hasInitialReleaseYear	1997 ⓘ
hasLicenseType	open standard ⓘ
hasSpecification	OpenMP self-linksurface differs ⓘ surface form: OpenMP API specification
hasVersion	OpenMP self-linksurface differs ⓘ surface form: OpenMP 2.0 OpenMP self-linksurface differs ⓘ surface form: OpenMP 3.0 OpenMP self-linksurface differs ⓘ surface form: OpenMP 4.0 OpenMP self-linksurface differs ⓘ surface form: OpenMP 4.5 Open Multi-Processing ⓘ surface form: OpenMP 5.0 OpenMP self-linksurface differs ⓘ surface form: OpenMP 5.1 OpenMP self-linksurface differs ⓘ surface form: OpenMP 5.2
isCompatibleWith	NUMA systems ⓘ multi-core processors ⓘ shared-memory multiprocessors ⓘ
isUsedFor	engineering simulations ⓘ high-performance computing ⓘ numerical applications ⓘ scientific computing ⓘ
providesFeature	SIMD directives ⓘ affinity control ⓘ compiler directives ⓘ data scoping clauses ⓘ environment variables ⓘ nested parallelism ⓘ offloading to accelerators ⓘ reduction operations ⓘ runtime library routines ⓘ synchronization constructs ⓘ task parallelism ⓘ thread-based parallelism ⓘ worksharing constructs ⓘ
standardizedBy	OpenMP self-linksurface differs ⓘ surface form: OpenMP Architecture Review Board
supportsLanguage	C ⓘ C++ ⓘ Fortran ⓘ
supportsPlatformType	multi-platform ⓘ
supportsProgrammingParadigm	shared-memory parallel programming ⓘ
usesDirectiveSyntax	!$omp in Fortran ⓘ #pragma omp in C and C++ ⓘ
usesProgrammingModel	fork-join parallelism ⓘ
website	https://www.openmp.org/ ⓘ

How these facts were elicited

Referenced by (22)

Full triples — surface form annotated when it differs from this entity's canonical label.

GNU Compiler Collection → supportsLanguage → OpenMP ⓘ

OpenMP → hasSpecification → OpenMP self-linksurface differs ⓘ

this entity surface form: OpenMP API specification

OpenMP → governedBy → OpenMP self-linksurface differs ⓘ

this entity surface form: OpenMP Architecture Review Board