LAPACK

GPTKB entity

Statements (79)

Predicate	Object
gptkbp:instance_of	gptkb:Library
gptkbp:developed_by	gptkb:University gptkb:University_of_Tennessee
gptkbp:distribution	gptkb:BSD_License GNULGPL
gptkbp:first_released	gptkb:1992
gptkbp:has_programs	gptkb:software_framework gptkb:technology finance statistics signal processing
https://www.w3.org/2000/01/rdf-schema#label	LAPACK
gptkbp:is_available_on	gptkb:smartphone gptkb:operating_system
gptkbp:is_compatible_with	gptkb:MATLAB gptkb:Library gptkb:C/_C++
gptkbp:is_documented_in	gptkb:Java_Enhancement_Proposal gptkb:municipality API Reference Technical Reports
gptkbp:is_integrated_with	gptkb:Jupyter_Notebooks gptkb:Graphics_Processing_Unit gptkb:Py_Torch gptkb:Num_Py Octave
gptkbp:is_maintained_by	gptkb:Netlib
gptkbp:is_optimized_for	high-performance computing
gptkbp:is_part_of	gptkb:Sci_Py_ecosystem gptkb:Sci_Py gptkb:project gptkb:Num_Py Numerical Linear Algebra MATLAB Toolboxes
gptkbp:is_related_to	Data science High-Performance Computing Machine learning Parallel Computing Algorithm Design Matrix Factorization Numerical Methods Computational mathematics Numerical analysis Computational Mathematics Matrix factorization
gptkbp:is_supported_by	gptkb:ATLAS gptkb:Intel_MKL gptkb:cu_BLAS gptkb:Open_BLAS
gptkbp:is_tested_for	performance analysis performance profiling unit tests benchmarking
gptkbp:is_used_by	gptkb:architect gptkb:physicist gptkb:MATLAB gptkb:R academics data scientists Python (via Sci Py)
gptkbp:is_used_in	gptkb:academic_research image processing data analysis engineering applications statistics financial modeling industrial applications scientific computing signal processing
gptkbp:latest_version	3.10.1
gptkbp:provides	singular value decomposition eigenvalue problems solutions linear least squares solutions solutions for linear equations
gptkbp:supports	multiple architectures
gptkbp:uses	BLAS (Basic Linear Algebra Subprograms)
gptkbp:written_in	gptkb:Fortran
gptkbp:bfsParent	gptkb:Fortran
gptkbp:bfsLayer	3