OpenACC

E59597

application programming interface directive-based programming model open standard parallel programming standard

OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.

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All labels observed (3)

Label	Occurrences
OpenACC canonical	3
OpenACC standards group	1
OpenACC.org	1

How this entity was disambiguated

This entity first appeared as the object of triple T477786 — 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: OpenACC
Context triple: [GNU Compiler Collection, supportsLanguage, OpenACC]

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. Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
C. NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
D. SGI Altix ICE architecture
SGI Altix ICE architecture is a high-performance computing platform designed by Silicon Graphics for scalable, cluster-based supercomputers using industry-standard components and advanced interconnects.
E. Algol 68
Algol 68 is a high-level, structured programming language from the ALGOL family, notable for its orthogonal design and influence on many later languages.
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: OpenACC
Target entity description: OpenACC is a directive-based parallel programming standard designed to simplify the development of portable, high-performance code on heterogeneous systems such as GPUs and multicore CPUs.

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. Pleiades supercomputer
The Pleiades supercomputer is a high-performance computing system used by NASA for large-scale simulations and scientific research in fields such as aeronautics, space exploration, and climate modeling.
C. NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
D. SGI Altix ICE architecture
SGI Altix ICE architecture is a high-performance computing platform designed by Silicon Graphics for scalable, cluster-based supercomputers using industry-standard components and advanced interconnects.
E. Algol 68
Algol 68 is a high-level, structured programming language from the ALGOL family, notable for its orthogonal design and influence on many later languages.
F. None of above. chosen

Statements (55)

Predicate	Object
instanceOf	application programming interface ⓘ directive-based programming model ⓘ open standard ⓘ parallel programming standard ⓘ
abbreviationFor	Open Accelerators ⓘ
competesWith	NVIDIA CUDA ⓘ surface form: CUDA HIP ⓘ OpenMP ⓘ surface form: OpenMP target offload
designGoal	hardware abstraction ⓘ minimal code changes to add parallelism ⓘ performance portability ⓘ
domain	high-performance computing ⓘ parallel programming ⓘ
focusesOn	offloading compute-intensive regions to accelerators ⓘ
fullName	Open Accelerators ⓘ
goal	allow incremental parallelization of existing code ⓘ enable portable performance across architectures ⓘ simplify parallel programming on heterogeneous systems ⓘ
governedBy	OpenACC self-linksurface differs ⓘ surface form: OpenACC.org
hasDirective	data ⓘ enter data ⓘ exit data ⓘ host_data ⓘ kernels ⓘ loop ⓘ parallel ⓘ routine ⓘ update ⓘ wait ⓘ
programmingModel	directive-based ⓘ pragma-based ⓘ
standardizedBy	OpenACC self-linksurface differs ⓘ surface form: OpenACC standards group
supports	GPU computing ⓘ accelerator programming ⓘ heterogeneous computing ⓘ multicore CPU computing ⓘ
supportsFeature	asynchronous execution ⓘ data management between host and device ⓘ device memory allocation ⓘ gang worker vector hierarchy ⓘ interoperability with CUDA ⓘ interoperability with OpenMP ⓘ loop parallelization ⓘ reduction operations ⓘ
typicalLanguages	C ⓘ C++ ⓘ Fortran ⓘ
typicalUseCase	legacy HPC code acceleration ⓘ numerical simulations ⓘ scientific computing applications ⓘ
uses	compiler directives ⓘ environment variables ⓘ pragmas ⓘ runtime library ⓘ
website	https://www.openacc.org/ ⓘ

How these facts were elicited

Referenced by (5)

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

GNU Compiler Collection → supportsLanguage → OpenACC ⓘ

OpenACC → standardizedBy → OpenACC self-linksurface differs ⓘ

this entity surface form: OpenACC standards group

OpenACC → governedBy → OpenACC self-linksurface differs ⓘ

this entity surface form: OpenACC.org

Open Accelerators → competesWith → OpenACC ⓘ

Cray XK7 → parallelProgrammingModel → OpenACC ⓘ

All labels observed (3)

How this entity was disambiguated Show

Statements (55)

How these facts were elicited Show

Referenced by (5)

How this entity was disambiguated

How these facts were elicited