NVIDIA CUDA Programming Guide
E839060
The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
All labels observed (4)
| Label | Occurrences |
|---|---|
| CUDA C Programming Guide | 2 |
| CUDA C++ Programming Guide | 1 |
| NVIDIA CUDA Programming Guide canonical | 1 |
| NVIDIA CUDA Toolkit documentation website | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10068617 — 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: NVIDIA CUDA Programming Guide Context triple: [CUDA Driver API, documentedIn, NVIDIA CUDA Programming Guide]
-
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.
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B.
CUDA toolkit
CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
-
C.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
- 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: NVIDIA CUDA Programming Guide Target entity description: The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
-
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.
CUDA toolkit
CUDA Toolkit is NVIDIA’s software development platform that provides compilers, libraries, and tools for building and optimizing GPU-accelerated applications.
-
C.
CUDA libraries
CUDA libraries are a collection of NVIDIA-provided GPU-accelerated software libraries that offer optimized routines for tasks such as linear algebra, deep learning, signal processing, and parallel algorithms on CUDA-enabled hardware.
-
D.
NVIDIA HPC SDK
NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools from NVIDIA designed to optimize and accelerate high-performance computing applications on NVIDIA GPUs and CPUs.
-
E.
CUDA Runtime API
The CUDA Runtime API is a high-level programming interface that simplifies developing and managing GPU-accelerated applications on NVIDIA GPUs.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
programming guide
ⓘ
reference manual ⓘ technical documentation ⓘ |
| covers |
CUDA C
ⓘ
CUDA C++ ⓘ
linked to:
CUDA C
CUDA compatibility and compute capabilities ⓘ CUDA compilation toolchain ⓘ CUDA driver API ⓘ
linked to:
CUDA Driver API
CUDA memory model ⓘ CUDA runtime API ⓘ
linked to:
CUDA Runtime API
asynchronous execution ⓘ blocks and grids ⓘ constant memory ⓘ device and context management ⓘ error handling in CUDA ⓘ global memory ⓘ occupancy and resource usage ⓘ performance optimization techniques ⓘ shared memory ⓘ streams and concurrency ⓘ texture memory ⓘ thread hierarchy ⓘ warps ⓘ |
| describes |
CUDA APIs
ⓘ
linked to:
CUDA Runtime API
CUDA architecture ⓘ
linked to:
NVIDIA CUDA
CUDA programming model ⓘ GPU-accelerated computing ⓘ NVIDIA GPU hardware ⓘ |
| intendedFor |
GPU programmers
ⓘ
high-performance computing practitioners ⓘ software developers ⓘ |
| language | English ⓘ |
| maintainedBy | NVIDIA CUDA team ⓘ |
| medium |
PDF document
ⓘ
online documentation ⓘ |
| providedBy |
NVIDIA Developer Zone
ⓘ
linked to:
NVIDIA Developer website
|
| publisher |
NVIDIA
ⓘ
linked to:
NVIDIA Corporation
NVIDIA Corporation ⓘ |
| relatedTo |
CUDA C Programming Guide
ⓘ
linked to:
NVIDIA CUDA Programming Guide
CUDA Toolkit ⓘ
linked to:
CUDA toolkit
|
| topic |
CUDA
ⓘ
linked to:
NVIDIA CUDA
GPGPU ⓘ GPU programming ⓘ heterogeneous computing ⓘ parallel programming ⓘ |
| updatedWith | new CUDA releases ⓘ |
| useCase |
developing GPU-accelerated applications
ⓘ
optimizing CUDA applications ⓘ porting CPU code to GPU ⓘ |
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: NVIDIA CUDA Programming Guide Description of subject: The NVIDIA CUDA Programming Guide is the official reference manual that explains the CUDA architecture, programming model, and APIs for developing GPU-accelerated applications on NVIDIA hardware.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: NVIDIA CUDA Programming Guide
linked to: NVIDIA CUDA Programming Guide
subject linked to:
CUDA toolkit
linked to: NVIDIA CUDA Programming Guide
linked to: NVIDIA CUDA Programming Guide