LINPACK
E389991
LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
All labels observed (4)
| Label | Occurrences |
|---|---|
| HPL (High-Performance LINPACK) | 1 |
| LINPACK canonical | 1 |
| LINPACK Users’ Guide | 1 |
| LINPACK benchmark | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3806570 — 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: LINPACK Context triple: [Frontier, benchmark, LINPACK]
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
C.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
D.
Fortran
Fortran is a high-level programming language, particularly strong in numerical and scientific computing, widely used for engineering, physics, and high-performance applications.
-
E.
Successive Over-Relaxation
Successive Over-Relaxation is an iterative numerical method that accelerates the convergence of the Gauss–Seidel algorithm for solving large systems of linear equations by introducing a relaxation factor.
- 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: LINPACK Target entity description: LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
-
A.
LinearAlgebra
LinearAlgebra is Julia’s standard library module providing core functionality for vectors, matrices, and advanced linear algebra operations.
-
B.
Numerical Recipes
Numerical Recipes is a widely used series of books that provides practical algorithms and explanations for numerical methods in scientific computing.
-
C.
NAG Fortran Compiler
NAG Fortran Compiler is a commercial, standards-focused Fortran compiler from the Numerical Algorithms Group, widely used for its rigorous support of modern Fortran features and robust error checking.
-
D.
Fortran
Fortran is a high-level programming language, particularly strong in numerical and scientific computing, widely used for engineering, physics, and high-performance applications.
-
E.
Successive Over-Relaxation
Successive Over-Relaxation is an iterative numerical method that accelerates the convergence of the Gauss–Seidel algorithm for solving large systems of linear equations by introducing a relaxation factor.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
benchmark
ⓘ
numerical linear algebra library ⓘ scientific computing software ⓘ software library ⓘ |
| associatedWith |
TOP500 list
ⓘ
surface form:
TOP500 list of supercomputers
|
| benchmarkVariant |
LINPACK
self-linksurface differs
ⓘ
surface form:
HPL (High-Performance LINPACK)
LINPACK self-linksurface differs ⓘ
surface form:
LINPACK benchmark
|
| dataType |
complex matrices
ⓘ
real matrices ⓘ |
| designedFor | dense matrices ⓘ |
| developer |
Cleve Moler
ⓘ
Gilbert Stewart ⓘ Jack Dongarra ⓘ Jim Bunch ⓘ |
| era | 1970s ⓘ |
| field |
numerical linear algebra
ⓘ
scientific computing ⓘ |
| hasComponent |
double-precision complex routines
ⓘ
double-precision real routines ⓘ single-precision complex routines ⓘ single-precision real routines ⓘ |
| influenced |
BLAS-based linear algebra libraries
ⓘ
LAPACK ⓘ ScaLAPACK ⓘ |
| license | freely distributed source code ⓘ |
| matrixStorageFormat | column-major order ⓘ |
| notablePublicationYear | 1979 ⓘ |
| numericalProperty | focus on stability and accuracy ⓘ |
| precisionSupport |
double precision
ⓘ
single precision ⓘ |
| primaryFunction |
compute eigenvalues and eigenvectors
ⓘ
compute matrix factorizations ⓘ perform numerical linear algebra computations ⓘ solve linear least squares problems ⓘ solve systems of linear equations ⓘ |
| programmingLanguage | Fortran ⓘ |
| publication |
LINPACK
self-linksurface differs
ⓘ
surface form:
LINPACK Users’ Guide
|
| publisherOfGuide | SIAM ⓘ |
| relatedTo |
BLAS
ⓘ
EISPACK ⓘ |
| targetPlatform |
early supercomputers
ⓘ
vector computers ⓘ |
| usedAs |
benchmark for floating-point performance
ⓘ
performance benchmark for supercomputers ⓘ |
| usesAlgorithm |
Cholesky factorization
ⓘ
Gaussian elimination ⓘ LU factorization ⓘ QR factorization ⓘ |
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: LINPACK Description of subject: LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
LINPACK Users’ Guide
this entity surface form:
LINPACK benchmark
this entity surface form:
HPL (High-Performance LINPACK)