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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| OpenACC canonical | 3 |
| OpenACC standards group | 1 |
| OpenACC.org | 1 |
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
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: OpenACC Description of subject: 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.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
OpenACC standards group
this entity surface form:
OpenACC.org