NVIDIA CUDA

E41922

parallel computing platform programming model

NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.

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

All labels observed (24)

Label	Occurrences
CUDA	32
CUDA C++	4
NVIDIA CUDA canonical	3
CUDA C	2
CUDA Toolkit	2
CUDA parallel computing platform	2
NVIDIA CUDA Toolkit	2
CUDA Events	1
CUDA Graphs	1
CUDA Math Library	1
CUDA Occupancy Calculator	1
CUDA Runtime API	1
CUDA Streams	1
CUDA compiler nvcc	1
CUDA programming model	1
CUDA runtime	1
NVIDIA CUDA ecosystem	1
NVIDIA CUDA libraries	1
NVIDIA CUDA parallel computing platform	1
NVIDIA GPU Computing Ecosystem	1
NVIDIA GPU computing ecosystem	1
NVIDIA GPU technology	1
NVIDIA GPUs	1
cuFFT	1

How this entity was disambiguated

This entity first appeared as the object of triple T328455 — 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
Context triple: [NVIDIA Corporation, brand, NVIDIA CUDA]

A. RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
B. NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
C. Intel Arc
Intel Arc is a line of discrete graphics processing units (GPUs) developed by Intel for gaming, content creation, and high-performance graphics workloads.
D. InfiniBand
InfiniBand is a high-speed, low-latency communications standard commonly used as the interconnect fabric in supercomputers and large-scale data centers.
E. 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.
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
Target entity description: NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.

A. RTX
RTX is a major American aerospace and defense company formed from the merger of Raytheon Company and United Technologies Corporation, known for its advanced military, aviation, and cybersecurity technologies.
B. NVIDIA Corporation
NVIDIA Corporation is a leading American technology company best known for designing powerful graphics processing units (GPUs) and AI computing platforms used in gaming, data centers, and high-performance computing.
C. Intel Arc
Intel Arc is a line of discrete graphics processing units (GPUs) developed by Intel for gaming, content creation, and high-performance graphics workloads.
D. InfiniBand
InfiniBand is a high-speed, low-latency communications standard commonly used as the interconnect fabric in supercomputers and large-scale data centers.
E. 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.
F. None of above. chosen

Statements (65)

Predicate	Object
instanceOf	parallel computing platform ⓘ programming model ⓘ
abbreviationOf	Compute Unified Device Architecture ⓘ
compatibleWith	Linux ⓘ Windows ⓘ macOS (historical support) ⓘ
developer	NVIDIA Corporation ⓘ surface form: NVIDIA
documentationURL	https://docs.nvidia.com/cuda/ ⓘ
ecosystem	NVIDIA CUDA self-linksurface differs ⓘ surface form: NVIDIA GPU Computing Ecosystem
enables	general-purpose computing on GPUs ⓘ high-performance computing ⓘ
hasComponent	NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Events NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Graphs NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Occupancy Calculator NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Streams
includes	CUDA Driver API ⓘ NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Math Library CUDA Profiler tools ⓘ NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Runtime API NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA Toolkit NCCL ⓘ Thrust ⓘ cuBLAS ⓘ cuDNN ⓘ NVIDIA CUDA self-linksurface differs ⓘ surface form: cuFFT cuRAND ⓘ cuSPARSE ⓘ nvcc compiler ⓘ
introducedBy	NVIDIA in 2006 ⓘ
license	proprietary ⓘ
marketedAs	Compute Unified Device Architecture ⓘ
programmingModel	SIMT ⓘ
requires	NVIDIA GPU with CUDA capability ⓘ
supports	GPU-accelerated computing ⓘ GPUDirect ⓘ asynchronous execution ⓘ constant memory on GPU ⓘ dynamic parallelism ⓘ events ⓘ heterogeneous computing ⓘ massively parallel kernels ⓘ multi-GPU programming ⓘ pinned host memory ⓘ shared memory on GPU ⓘ streams ⓘ texture memory on GPU ⓘ unified memory ⓘ
supportsLanguage	NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA C NVIDIA CUDA self-linksurface differs ⓘ surface form: CUDA C++ CUDA Fortran ⓘ Fortran via PGI/NVHPC compilers ⓘ Java via CUDA bindings ⓘ MATLAB via CUDA integration ⓘ Python via CUDA bindings ⓘ
targetHardware	NVIDIA GeForce GPU line ⓘ surface form: NVIDIA GPU
toolkitDownloadURL	https://developer.nvidia.com/cuda-downloads ⓘ
usedFor	computational finance ⓘ computer vision ⓘ data analytics ⓘ deep learning ⓘ image processing ⓘ machine learning ⓘ numerical simulation ⓘ scientific computing ⓘ signal processing ⓘ