Statements (146)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:available_on |
gptkb:multiple_platforms
|
| gptkbp:can_be_used_with |
gptkb:C
gptkb:C++ gptkb:Python gptkb:R gptkb:Julia |
| gptkbp:developed_by |
gptkb:Netlib
|
| gptkbp:has_applications_in |
gptkb:Graphics_Processing_Unit
image processing physics engineering finance statistics financial modeling signal processing engineering simulations |
| gptkbp:has_version |
gptkb:Level_3
gptkb:Level_1 gptkb:Level_2 |
| https://www.w3.org/2000/01/rdf-schema#label |
BLAS
|
| gptkbp:includes |
matrix operations
vector operations matrix-vector operations |
| gptkbp:is_a_foundation_for |
numerical linear algebra
|
| gptkbp:is_a_key_component_of |
scientific software
|
| gptkbp:is_available_in |
open-source implementations
commercial versions open-source versions commercial implementations |
| gptkbp:is_available_on |
gptkb:multiple_platforms
|
| gptkbp:is_compatible_with |
gptkb:LAPACK
various operating systems various hardware architectures |
| gptkbp:is_designed_for |
high efficiency
|
| gptkbp:is_documented_in |
online resources
user manuals technical papers |
| gptkbp:is_essential_for |
gptkb:Control
gptkb:neural_networks high-performance computing machine learning algorithms real-time applications time series analysis data mining optimization problems data fitting forecasting models linear regression support vector machines clustering algorithms principal component analysis singular value decomposition image transformations signal filtering eigenvalue problems matrix decompositions |
| gptkbp:is_implemented_in |
gptkb:ATLAS
gptkb:MKL gptkb:C gptkb:C++ gptkb:Fortran gptkb:Python gptkb:cu_BLAS gptkb:Open_BLAS |
| gptkbp:is_influential_in |
algorithm development
computational mathematics numerical analysis software engineering |
| gptkbp:is_integrated_with |
gptkb:MKL
gptkb:LAPACK gptkb:Open_BLAS |
| gptkbp:is_linked_to |
other libraries
|
| gptkbp:is_maintained_by |
gptkb:netlib
academic institutions industry organizations community contributors |
| gptkbp:is_often_accompanied_by |
CUDA for GPU acceleration
MPI for distributed computing Open MP for parallel processing |
| gptkbp:is_often_benchmarked_against |
other libraries
|
| gptkbp:is_often_used_in |
gptkb:LAPACK
gptkb:machine_learning data analysis scientific computing |
| gptkbp:is_optimized_for |
gptkb:performance
specific hardware performance on various architectures |
| gptkbp:is_part_of |
gptkb:Artificial_Intelligence
gptkb:simulation gptkb:robotics deep learning high-performance computing data science AI applications numerical libraries machine learning frameworks machine vision data science toolkit scientific libraries scientific software stack the software stack for AI |
| gptkbp:is_related_to |
computational mathematics
vector spaces numerical analysis matrix algebra |
| gptkbp:is_standardized_by |
gptkb:ISO
gptkb:ANSI gptkb:ACM for linear algebra |
| gptkbp:is_supported_by |
many programming languages
many compilers |
| gptkbp:is_tested_for |
gptkb:performance
scalability accuracy |
| gptkbp:is_used_by |
gptkb:engineers
gptkb:developers gptkb:researchers |
| gptkbp:is_used_in |
gptkb:Graphics_Processing_Unit
gptkb:cloud_computing gptkb:machine_learning image processing data analysis embedded systems scientific computing statistical analysis bioinformatics signal processing supercomputers |
| gptkbp:is_utilized_by |
high-performance computing applications
|
| gptkbp:is_utilized_in |
financial modeling
bioinformatics engineering simulations weather modeling |
| gptkbp:provides |
basic linear algebra operations
basic linear algebra subprograms basic vector operations matrix-matrix operations matrix-vector operations |
| gptkbp:supports |
multi-threading
matrix-matrix operations matrix-vector operations |
| gptkbp:used_for |
linear algebra operations
|
| gptkbp:written_in |
gptkb:Fortran
|
| gptkbp:bfsParent |
gptkb:Fortran
|
| gptkbp:bfsLayer |
4
|