Basic Linear Algebra Subprograms (BLAS)
GPTKB entity
Statements (63)
Predicate | Object |
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gptkbp:instance_of |
gptkb:Library
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gptkbp:bfsLayer |
5
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gptkbp:bfsParent |
gptkb:LINPACK_library
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gptkbp:developed_by |
gptkb:Netlib
|
gptkbp:has |
various implementations
|
https://www.w3.org/2000/01/rdf-schema#label |
Basic Linear Algebra Subprograms (BLAS)
|
gptkbp:includes |
Level 1 routines
Level 2 routines Level 3 routines |
gptkbp:influenced_by |
gptkb:LINPACK
|
gptkbp:is |
cross-platform
open source modular extensible used in statistical analysis used in optimization problems widely used in industry used in computational chemistry used in meteorology used in operations research widely used in academia used in financial modeling used in control systems used in robotics used in telecommunications used in artificial intelligence used in bioinformatics used in climate modeling used in computational physics used in deep learning used in image processing used in machine vision used in natural language processing used in neural networks used in simulations highly optimized used in signal processing used in speech recognition used in computer vision a foundation for other libraries essential for numerical linear algebra part of many software packages used in geophysics used in graphics processing used in network analysis used in optimization algorithms used in signal detection |
gptkbp:is_available_on |
gptkb:multiple_platforms
|
gptkbp:is_implemented_in |
many numerical libraries
|
gptkbp:is_optimized_for |
high performance computing
|
gptkbp:is_standardized_by |
gptkb:American_National_Standards_Institute_(ANSI)
|
gptkbp:is_used_for |
linear algebra operations
|
gptkbp:provides |
vector addition
dot product basic routines for vector and matrix operations matrix-matrix multiplication matrix-vector multiplication |
gptkbp:supports |
multiple programming languages
parallel computing |
gptkbp:used_in |
gptkb:software_framework
data analysis scientific computing |
gptkbp:written_in |
gptkb:Fortran
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