Statements (336)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
gptkb:Library gptkb:computer |
| gptkbp:application |
scientific computing
|
| gptkbp:available_at |
open-source license
|
| gptkbp:available_on |
gptkb:mobile_devices
gptkb:multiple_platforms open-source platforms multiple operating systems |
| gptkbp:benchmarking_tool_for |
supercomputers
|
| gptkbp:can_be_parallelized_for |
multi-core processors
|
| gptkbp:can_be_used_with |
gptkb:user_interface
gptkb:Java gptkb:Python C language cloud computing environments C++ language |
| gptkbp:category |
Numerical analysis
|
| gptkbp:collaborated_with |
academic institutions
industry partners research organizations |
| gptkbp:contributes_to |
Top500 list
|
| gptkbp:contribution |
computational mathematics
|
| gptkbp:designed_for |
linear algebra
solving linear equations |
| gptkbp:developed_by |
gptkb:Argonne_National_Laboratory
gptkb:Jack_Dongarra |
| gptkbp:first_published |
ongoing development
|
| gptkbp:first_released |
gptkb:1979
1970s |
| gptkbp:has_applications_in |
gptkb:crypt
gptkb:Control gptkb:Artificial_Intelligence gptkb:computer_science gptkb:Telecommunications gptkb:Graphics_Processing_Unit gptkb:quantum_computing gptkb:cloud_computing gptkb:machine_learning gptkb:robotics image processing physics data analysis engineering finance distributed computing embedded systems financial modeling parallel computing real-time systems scientific computing statistical analysis bioinformatics computational physics signal processing weather forecasting big data analytics optimization problems computational chemistry network analysis engineering simulations computational biology simulation modeling high-performance computing (HPC) machine vision |
| gptkbp:has_been_updated_to_support |
modern architectures
|
| gptkbp:has_variants |
gptkb:LINPACK-100
gptkb:LINPACK-200 gptkb:LINPACK-300 gptkb:LINPACK-TNG LINPACK-D, LINPACK-T |
| gptkbp:has_version |
gptkb:LINPACK_100
gptkb:LINPACK_50 gptkb:LINPACK_64 gptkb:LINPACK_77 gptkb:LINPACK_95 |
| https://www.w3.org/2000/01/rdf-schema#label |
LINPACK
|
| gptkbp:includes |
gptkb:LINPACK_Benchmark
LU decomposition QR decomposition Cholesky decomposition benchmarking tools matrix factorization routines matrix factorization algorithms subroutines for matrix operations |
| gptkbp:influenced_by |
gptkb:EISPACK
gptkb:Gaussian_elimination gptkb:BLAS Basic Linear Algebra Subprograms |
| gptkbp:is_a_basis_for |
research in numerical linear algebra
|
| gptkbp:is_a_foundation_for |
advanced numerical methods
|
| gptkbp:is_a_key_component_of |
HPC applications
many HPC applications |
| gptkbp:is_a_reference_for |
performance tuning
|
| gptkbp:is_a_resource_for |
educational purposes
|
| gptkbp:is_a_subject_of |
academic papers
computer science courses |
| gptkbp:is_a_tool_for |
algorithm development
|
| gptkbp:is_analyzed_in |
computational performance
|
| gptkbp:is_associated_with |
gptkb:NAG_Library
numerical analysis parallel algorithms high-performance algorithms |
| gptkbp:is_available_in |
open source
|
| gptkbp:is_available_on |
gptkb:multiple_platforms
gptkb:Android gptkb:Git_Hub gptkb:i_OS open-source platforms supercomputers commercial software platforms |
| gptkbp:is_based_on |
gptkb:Gaussian_elimination
BLAS (Basic Linear Algebra Subprograms) |
| gptkbp:is_benchmarked_by |
gptkb:LINPACK_benchmark
|
| gptkbp:is_cited_in |
academic papers
|
| gptkbp:is_compatible_with |
gptkb:CUDA
gptkb:MPI gptkb:Open_MP multiple architectures various architectures |
| gptkbp:is_documented_in |
research papers
user manuals technical papers |
| gptkbp:is_enhanced_by |
optimizations for specific architectures
|
| gptkbp:is_evaluated_by |
performance benchmarks
Top500 list HPL benchmark |
| gptkbp:is_implemented_in |
gptkb:C
gptkb:C++ gptkb:Fortran gptkb:Python C and C++ supercomputers |
| gptkbp:is_influenced_by |
algorithm design
computational mathematics numerical linear algebra |
| gptkbp:is_influential_in |
computational mathematics
|
| gptkbp:is_known_for |
performance measurement
|
| gptkbp:is_maintained_by |
community contributors
netlib.org |
| gptkbp:is_often_used_in |
research institutions
scientific computing |
| gptkbp:is_optimized_for |
matrix operations
high-performance computing parallel computing parallel processing vector processors |
| gptkbp:is_part_of |
gptkb:High-Performance_Linpack_(HPL)
gptkb:LINPACK_Benchmark_Suite gptkb:Artificial_Intelligence gptkb:academic_research gptkb:LINPACK_Benchmark gptkb:cloud_computing gptkb:simulation gptkb:Software_Development gptkb:scientific_research High-Performance Computing Numerical Libraries linear algebra algorithm development big data processing computational mathematics distributed computing embedded systems financial modeling industrial applications open-source projects parallel computing real-time systems statistical analysis Numerical Algorithms academic studies computational physics data science performance evaluation optimization problems computational chemistry numerical analysis performance benchmarks numerical libraries mobile computing computational biology Numerical Linear Algebra software development kits computational frameworks HPC benchmarks scientific computing community scientific software scientific benchmarks HPC ecosystem scientific software stack HPC software stack matrix computation numerical benchmarks numerical software ecosystem scientific software ecosystem scientific software packages supercomputing applications the LINPACK Benchmark |
| gptkbp:is_recognized_for |
efficiency
scalability accuracy |
| gptkbp:is_related_to |
gptkb:LAPACK
gptkb:BLAS numerical analysis matrix computations BLAS (Basic Linear Algebra Subprograms) LAPACK (Linear Algebra Package) |
| gptkbp:is_standardized_by |
measuring floating-point performance
|
| gptkbp:is_supported_by |
gptkb:Intel
gptkb:AMD gptkb:NVIDIA_GPUs gptkb:Intel_CPUs gptkb:NVIDIA community contributions various hardware vendors |
| gptkbp:is_tested_for |
real-world applications
large-scale problems real-world datasets various datasets high-performance clusters |
| gptkbp:is_updated_by |
ongoing research
|
| gptkbp:is_used_by |
universities
government agencies research institutions supercomputers |
| gptkbp:is_used_for |
gptkb:machine_learning
image processing data analysis financial modeling parallel processing real-time simulations signal processing optimization problems data fitting large-scale computations |
| gptkbp:is_used_in |
gptkb:space_exploration
gptkb:Artificial_Intelligence gptkb:academic_research gptkb:machine_learning gptkb:mobile_applications financial modeling industrial applications scientific computing statistical analysis bioinformatics data mining data science signal processing weather forecasting optimization problems numerical simulations climate modeling supercomputers engineering simulations weather modeling Top500 list government research machine vision machine simulations |
| gptkbp:is_used_to_solve |
systems of linear equations
|
| gptkbp:is_utilized_by |
research institutions
|
| gptkbp:is_utilized_in |
gptkb:academic_research
gptkb:machine_learning financial modeling industrial applications scientific computing bioinformatics |
| gptkbp:key_feature |
matrix factorization
|
| gptkbp:latest_version |
multiple versions
|
| gptkbp:library |
numerical library
|
| gptkbp:measures |
floating-point performance
|
| gptkbp:part_of |
gptkb:LINPACK_Benchmark
gptkb:High-Performance_Computing_(HPC) gptkb:Netlib |
| gptkbp:performance |
gptkb:High-Performance_Linpack_(HPL)
gptkb:Top500_supercomputers gptkb:LINPACK_benchmark engineering applications floating-point performance machine learning applications algorithm efficiency software optimization numerical analysis supercomputers scientific simulations financial applications algorithm performance computational performance numerical accuracy matrix computations floating-point operations per second (FLOPS) high-performance computing systems scientific applications numerical linear algebra hardware performance data analysis applications supercomputing performance other linear algebra libraries supercomputer performance |
| gptkbp:platform |
gptkb:Linux
gptkb:Mac_OS gptkb:multiple_platforms high-performance computing |
| gptkbp:provides |
performance metrics
benchmarking tools matrix factorization routines benchmarking for supercomputers solvers for least squares problems solvers for linear equations |
| gptkbp:rank |
supercomputers in TOP500 list
|
| gptkbp:related_to |
gptkb:LAPACK
gptkb:BLAS gptkb:MPI |
| gptkbp:released_in |
gptkb:1979
|
| gptkbp:successor |
gptkb:LINPACK-XE
gptkb:LINPACK_Benchmark gptkb:LAPACK |
| gptkbp:supports |
matrix operations
distributed computing parallel computing dense matrices dense linear algebra |
| gptkbp:used_by |
universities
research institutions supercomputers |
| gptkbp:used_for |
solving linear equations
|
| gptkbp:used_in |
high-performance computing
scientific computing supercomputing |
| gptkbp:utilizes |
parallel processing
|
| gptkbp:written_in |
gptkb:C
gptkb:Fortran |
| gptkbp:bfsParent |
gptkb:Cray_XK7
gptkb:NVIDIA_P100_GPU |
| gptkbp:bfsLayer |
5
|