Accelerated Linear Algebra
E1300998
UNEXPLORED
Accelerated Linear Algebra (XLA) is a domain-specific compiler for linear algebra that optimizes and accelerates machine learning computations on hardware like GPUs and TPUs.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Accelerated Linear Algebra canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T18016685 — 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: Accelerated Linear Algebra Context triple: [XLA, fullName, Accelerated Linear Algebra]
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A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
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B.
linear algebra
Linear algebra is a branch of mathematics that studies vectors, vector spaces, linear transformations, and systems of linear equations, forming a foundation for many areas of science and engineering.
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C.
Linear Associative Algebra
Linear Associative Algebra is an 1870 mathematical treatise by Benjamin Peirce that helped lay foundational concepts for the modern theory of associative algebras and abstract algebra.
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D.
A Shorter Course in Algebra
A Shorter Course in Algebra is a concise algebra textbook authored by Confederate general and educator D. H. Hill for use in 19th-century American schools.
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E.
Linear Differential Equations and Their Applications
"Linear Differential Equations and Their Applications" is a classic mathematical text by Maxime Bôcher that systematically develops the theory of linear differential equations and demonstrates their use in solving applied problems.
- 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: Accelerated Linear Algebra Target entity description: Accelerated Linear Algebra (XLA) is a domain-specific compiler for linear algebra that optimizes and accelerates machine learning computations on hardware like GPUs and TPUs.
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
linear algebra
Linear algebra is a branch of mathematics that studies vectors, vector spaces, linear transformations, and systems of linear equations, forming a foundation for many areas of science and engineering.
-
C.
Linear Associative Algebra
Linear Associative Algebra is an 1870 mathematical treatise by Benjamin Peirce that helped lay foundational concepts for the modern theory of associative algebras and abstract algebra.
-
D.
A Shorter Course in Algebra
A Shorter Course in Algebra is a concise algebra textbook authored by Confederate general and educator D. H. Hill for use in 19th-century American schools.
-
E.
Linear Differential Equations and Their Applications
"Linear Differential Equations and Their Applications" is a classic mathematical text by Maxime Bôcher that systematically develops the theory of linear differential equations and demonstrates their use in solving applied problems.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.