OpenCL 2.2
E662139
OpenCL 2.2 is a version of the OpenCL standard that enhances heterogeneous parallel programming with features like improved kernel language support and better integration with modern C++-based compute models.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OpenCL 2.2 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7279384 — 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: OpenCL 2.2 Context triple: [OpenCL, hasVersion, OpenCL 2.2]
-
A.
OpenCL 1.2
OpenCL 1.2 is a version of the Open Computing Language standard that refines and extends earlier releases to improve heterogeneous parallel programming across CPUs, GPUs, and other accelerators.
-
B.
OpenCL C 2.0
OpenCL C 2.0 is a version of the OpenCL C programming language that adds advanced features such as generic address space, pipes, and improved atomics for more expressive and efficient heterogeneous parallel programming.
-
C.
OpenCL C 1.2
OpenCL C 1.2 is a version of the C-based kernel programming language used to write parallel code for heterogeneous computing devices within the OpenCL 1.2 framework.
-
D.
OpenCL
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
-
E.
OpenCL 1.1
OpenCL 1.1 is a revision of the OpenCL standard that refines and extends its cross-platform parallel programming model for heterogeneous computing devices such as CPUs, GPUs, and other accelerators.
- 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: OpenCL 2.2 Target entity description: OpenCL 2.2 is a version of the OpenCL standard that enhances heterogeneous parallel programming with features like improved kernel language support and better integration with modern C++-based compute models.
-
A.
OpenCL 1.2
OpenCL 1.2 is a version of the Open Computing Language standard that refines and extends earlier releases to improve heterogeneous parallel programming across CPUs, GPUs, and other accelerators.
-
B.
OpenCL C 2.0
OpenCL C 2.0 is a version of the OpenCL C programming language that adds advanced features such as generic address space, pipes, and improved atomics for more expressive and efficient heterogeneous parallel programming.
-
C.
OpenCL C 1.2
OpenCL C 1.2 is a version of the C-based kernel programming language used to write parallel code for heterogeneous computing devices within the OpenCL 1.2 framework.
-
D.
OpenCL
OpenCL is an open, cross-platform framework for writing programs that execute across heterogeneous systems including CPUs, GPUs, and other processors.
-
E.
OpenCL 1.1
OpenCL 1.1 is a revision of the OpenCL standard that refines and extends its cross-platform parallel programming model for heterogeneous computing devices such as CPUs, GPUs, and other accelerators.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
OpenCL version
ⓘ
parallel computing standard ⓘ |
| aimsTo |
align with modern C++ compute models
ⓘ
improve programmability of heterogeneous systems ⓘ |
| backwardCompatibleWith | earlier OpenCL 2.x versions ⓘ |
| belongsToFamily | OpenCL 2.x NERFINISHED ⓘ |
| category |
GPGPU standard
ⓘ
heterogeneous computing API ⓘ |
| compatibleWith |
OpenCL execution model
NERFINISHED
ⓘ
OpenCL memory model NERFINISHED ⓘ OpenCL platform model NERFINISHED ⓘ |
| designedFor |
data-parallel programming
ⓘ
task-parallel programming ⓘ |
| enables |
better code reuse in kernels
ⓘ
richer C++ abstractions in kernels ⓘ stronger type safety in kernels ⓘ |
| extends | OpenCL C kernel language NERFINISHED ⓘ |
| follows | OpenCL 2.1 NERFINISHED ⓘ |
| governingBody | Khronos Group OpenCL Working Group NERFINISHED ⓘ |
| hasFeature |
OpenCL C++ kernel language
NERFINISHED
ⓘ
improved kernel language support ⓘ integration with modern C++-based compute models ⓘ |
| hasSpecificationType | open standard ⓘ |
| hasVersionNumber | 2.2 ⓘ |
| improvesUpon | OpenCL 2.1 kernel language NERFINISHED ⓘ |
| partOf | OpenCL NERFINISHED ⓘ |
| standardizedBy | Khronos Group NERFINISHED ⓘ |
| supports |
heterogeneous parallel programming
ⓘ
portable parallel programming across devices ⓘ |
| supportsFeature |
classes in kernel language
ⓘ
lambdas in kernel language ⓘ namespaces in kernel language ⓘ operator overloading in kernel language ⓘ templates in kernel language ⓘ |
| supportsLanguage |
OpenCL C
NERFINISHED
ⓘ
OpenCL C++ for kernels NERFINISHED ⓘ |
| targetDomain |
CPU computing
ⓘ
GPU computing ⓘ accelerator computing ⓘ |
| usedFor |
high-performance computing
ⓘ
machine learning workloads ⓘ real-time graphics compute workloads ⓘ scientific computing ⓘ |
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: OpenCL 2.2 Description of subject: OpenCL 2.2 is a version of the OpenCL standard that enhances heterogeneous parallel programming with features like improved kernel language support and better integration with modern C++-based compute models.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.