Parallel Computing Toolbox
E437248
Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Parallel Computing Toolbox canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4425089 — 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: Parallel Computing Toolbox Context triple: [MATLAB, hasComponent, Parallel Computing Toolbox]
-
A.
MATLAB
MATLAB is a high-level programming language and interactive environment widely used for numerical computing, data analysis, algorithm development, and visualization, particularly in engineering and scientific research.
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B.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
C.
High Performance Computing Collaboratory
The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
-
D.
GNU Octave
GNU Octave is a high-level, open-source programming language and numerical computing environment largely compatible with MATLAB, used for solving linear and nonlinear problems and performing other numerical experiments.
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E.
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.
- 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: Parallel Computing Toolbox Target entity description: Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
-
A.
MATLAB
MATLAB is a high-level programming language and interactive environment widely used for numerical computing, data analysis, algorithm development, and visualization, particularly in engineering and scientific research.
-
B.
Intel Threading Building Blocks
Intel Threading Building Blocks is a C++ template library developed by Intel that provides high-level, task-based parallelism and scalable performance for multicore and manycore processors.
-
C.
High Performance Computing Collaboratory
The High Performance Computing Collaboratory is a major research center specializing in advanced computational science and engineering, supporting large-scale simulations and high-performance computing applications across diverse scientific and industrial domains.
-
D.
GNU Octave
GNU Octave is a high-level, open-source programming language and numerical computing environment largely compatible with MATLAB, used for solving linear and nonlinear problems and performing other numerical experiments.
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E.
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.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
MATLAB toolbox
ⓘ
software library ⓘ |
| developer | MathWorks ⓘ |
| enables |
GPU computing
ⓘ
batch processing ⓘ cluster computing ⓘ data-intensive computation ⓘ distributed computing ⓘ large-scale numerical computation ⓘ multicore processing ⓘ parallel computing ⓘ |
| integratesWith |
MATLAB Distributed Computing Server
ⓘ
MATLAB Parallel Server ⓘ
linked to:
MATLAB Distributed Computing Server
Simulink ⓘ |
| licenseType | proprietary software ⓘ |
| operatingSystem |
Linux
ⓘ
Windows ⓘ macOS ⓘ |
| partOf |
MATLAB product family
ⓘ
linked to:
MATLAB Toolboxes
|
| programmingLanguage | MATLAB ⓘ |
| provides |
batch job interface
ⓘ
distributed arrays ⓘ gpuArray data type ⓘ parallel cluster profiles ⓘ parallel for-loops ⓘ parallel pools ⓘ parallel-enabled numerical functions ⓘ parfor construct ⓘ spmd construct ⓘ task scheduling on clusters ⓘ |
| requires | MATLAB ⓘ |
| supports |
GPUs
ⓘ
Monte Carlo simulations ⓘ batch parallel computing ⓘ big data analytics workflows ⓘ cloud clusters ⓘ computer clusters ⓘ interactive parallel computing ⓘ multicore desktops ⓘ parameter sweeps ⓘ |
| supportsLanguage | MATLAB ⓘ |
| usedFor |
accelerating MATLAB code
ⓘ
offloading computations to GPUs ⓘ parallelizing for-loops ⓘ parallelizing numerical algorithms ⓘ scaling computations to clusters ⓘ |
| website | https://www.mathworks.com/products/parallel-computing.html ⓘ |
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: Parallel Computing Toolbox Description of subject: Parallel Computing Toolbox is a MATLAB add-on that enables users to perform parallel and distributed computing to accelerate large-scale numerical and data-intensive computations.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.