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Basic Linear Algebra Subprograms: Products & Standards
Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. They are the de facto standard low-level routines for linear algebra libraries; the routines…
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Basic Linear Algebra Subprograms topic overview
The analysis highlights Products and Standards as prominent areas in the source structure around Basic Linear Algebra Subprograms. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
116
Source areas
7
Connected nodes
124
Extracted relationships
94
Concept neighborhoods
33
Bridge connections
124
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Implementations · 50 topics
Overview · 33 topics
Functionality · 16 topics
Background · 7 topics
Similar libraries (not compatible with BLAS) · 6 topics
Batched BLAS · 4 topics
Sparse BLAS · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Platform
Cross-platform
Release
September 1979; 46 years ago (1979-09)
Stable release
3.11.0 / 11 November 2022; 3 years ago (2022-11-11)
Type
Library
Written in
depends on implementation
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Basic Linear Algebra Subprograms connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Basic Linear Algebra Subprograms shows recurring relationship patterns in the source. For example, Basic Linear Algebra Subprograms → ACM Trans, Algorithm, An, An Updated Set, Basic Linear Algebra Subroutines, Blackford, BLAS, BLAST, BLAST Forum, Corrigendum, Demmel, Dongarra, Du Croz, Duff, Fortran, FORTRAN Basic Linear Algebra, Forum Standard, Grimes, Hammarling, Hanson Another extracted example is Basic Linear Algebra Subprograms → An Overview, Applied Mathematics, April, ATLAS, BLAS, BLAS Technical Forum, California, Charles, Dongarra Oral History In, FAQBLAS Quick Reference Guide, GHz, History One, Industrial, Jack Dongarra, Knoxville TN, LAPACK Users' GuideLawson Oral, Lawson Oral, LINPACK, Netlib, November. Use these groups to spot repeated connection types before inspecting the individual relationships.
Basic Linear Algebra Subprograms
Top relations
related to Further reading· 43
Basic Linear Algebra Subprograms → ACM Trans, Algorithm, An, An Updated Set, Basic Linear Algebra Subroutines, Blackford, BLAS, BLAST, BLAST Forum, Corrigendum, Demmel, Dongarra, Du Croz, Duff, Fortran, FORTRAN Basic Linear Algebra, Forum Standard, Grimes, Hammarling, Hanson
related to External links· 33
Basic Linear Algebra Subprograms → An Overview, Applied Mathematics, April, ATLAS, BLAS, BLAS Technical Forum, California, Charles, Dongarra Oral History In, FAQBLAS Quick Reference Guide, GHz, History One, Industrial, Jack Dongarra, Knoxville TN, LAPACK Users' GuideLawson Oral, Lawson Oral, LINPACK, Netlib, November
Platform· 1
Basic Linear Algebra Subprograms → Cross-platform
Release· 1
Basic Linear Algebra Subprograms → September 1979; 46 years ago (1979-09)
Stable release· 1
Basic Linear Algebra Subprograms → 3.11.0 / 11 November 2022; 3 years ago (2022-11-11)
Type· 1
Basic Linear Algebra Subprograms → Library
Website· 1
Basic Linear Algebra Subprograms → www.netlib.org/blas/
Written in· 1
Basic Linear Algebra Subprograms → depends on implementation
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Basic Linear Algebra Subprograms relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 94 structured relationships around Basic Linear Algebra Subprograms. Examples in this analysis include Basic Linear Algebra Subprograms → Platform → Cross-platform and Basic Linear Algebra Subprograms → Release → September 1979; 46 years ago (1979-09). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Basic Linear Algebra Subprograms
Platform
Cross-platform
1.00
infobox
Basic Linear Algebra Subprograms
Release
September 1979; 46 years ago (1979-09)
1.00
infobox
Basic Linear Algebra Subprograms
Stable release
3.11.0 / 11 November 2022; 3 years ago (2022-11-11)
1.00
infobox
Basic Linear Algebra Subprograms
Type
Library
1.00
infobox
Basic Linear Algebra Subprograms
Website
www.netlib.org/blas/
1.00
infobox
Basic Linear Algebra Subprograms
Written in
depends on implementation
1.00
infobox
vector addition
instance of
is a specification that prescribes a set of low-level routines for performing common linear algebra operations
0.80
text
scalar multiplication
instance of
is a specification that prescribes a set of low-level routines for performing common linear algebra operations
0.80
text
dot products
instance of
is a specification that prescribes a set of low-level routines for performing common linear algebra operations
0.80
text
linear combinations
instance of
is a specification that prescribes a set of low-level routines for performing common linear algebra operations
0.80
text
and matrix multiplication
instance of
is a specification that prescribes a set of low-level routines for performing common linear algebra operations
0.80
text
vector registers or SIMD instructions.It originated as a Fortran library in 1979
instance of
BLAS implementations will take advantage of special floating point hardware
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Basic Linear Algebra Subprograms bring nearby vocabulary together. In this analysis, examples include Subprograms, Algebra and Basic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Basic Linear Algebra Subprograms
Subprograms
Algebra
Basic
Linear
Acm
Trans
Set
Fortran
Subroutines
Kernel
Blas
Library
basic linear algebra subprograms
Linear
Subprograms
Algebra
Basic
Acm
Trans
Set
Fortran
Operations
Libraries
Blas
Routines
linear algebra
Linear
Basic
Subprograms
Acm
Trans
Set
Fortran
Operations
Libraries
Blas
Routines
Level
intel math kernel library
Operations
Optimized
Math
Libraries
Would
Subroutines
Also
Used
Kernel
Library
Routines
Linear
linear time
Subprograms
Acm
Trans
Set
Fortran
Operations
Blas
Routines
Libraries
Level
Kernel
Lapack
blas
Level
Performance
Linear
Operations
Library
Routines
Libraries
Matrix
Vector
Implementation
Using
Kernel
arm performance libraries
Kernel
Math
Using
Library
Linear
Matrices
Lapack
Algorithms
Subroutines
Would
Atlas
Pp
math kernel library
Operations
Optimized
Math
Libraries
Would
Subroutines
Also
Used
Kernel
Library
Routines
Linear
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Basic Linear Algebra Subprograms, one of the stronger structural bridges in this analysis connects Basic Linear Algebra Subprograms with Implementations. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Basic Linear Algebra Subprograms — Implementations· splits 74 ⟂ 51Basic Linear Algebra Subprograms — Overview· splits 91 ⟂ 34Basic Linear Algebra Subprograms — Functionality· splits 108 ⟂ 17Basic Linear Algebra Subprograms — Background· splits 117 ⟂ 8Basic Linear Algebra Subprograms — Similar libraries (not compatible with BLAS)· splits 118 ⟂ 7Basic Linear Algebra Subprograms — Batched BLAS· splits 120 ⟂ 5
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Basic Linear Algebra Subprograms
Nodes125
Edges124
Triples94
Avg. degree1.98
Density0.016
Components1
Source & methodology
TTTA analyzes the structure around Basic Linear Algebra Subprograms to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
