Statements (65)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Performance_Monitoring
|
| gptkbp:based_on |
solving a system of linear equations
|
| gptkbp:consists_of |
matrix factorization
|
| gptkbp:developed_by |
gptkb:University_of_Tennessee
gptkb:Jack_Dongarra parallel computing |
| gptkbp:evaluates |
matrix operations
|
| gptkbp:first_released |
gptkb:1979
|
| https://www.w3.org/2000/01/rdf-schema#label |
LINPACK benchmark
|
| gptkbp:influenced_by |
gptkb:LINPACK_library
|
| gptkbp:is_analyzed_in |
gptkb:computer_science
performance analysts |
| gptkbp:is_applied_in |
supercomputing
|
| gptkbp:is_associated_with |
computational efficiency
high-performance applications |
| gptkbp:is_benchmarking_method |
matrix inversion
for scientific research |
| gptkbp:is_benchmarking_standard |
for scientific computing
|
| gptkbp:is_benchmarking_tool |
for performance evaluation
|
| gptkbp:is_cited_in |
research papers
|
| gptkbp:is_compared_to |
other benchmarks
|
| gptkbp:is_evaluated_by |
gptkb:scientific_research
performance metrics performance benchmarks performance tests |
| gptkbp:is_implemented_in |
gptkb:C
gptkb:Fortran various platforms |
| gptkbp:is_part_of |
computational mathematics
high-performance computing performance benchmarking computational benchmarks performance evaluation tools |
| gptkbp:is_recognized_as |
a standard benchmark
|
| gptkbp:is_recognized_by |
gptkb:IEEE
gptkb:scientific_community |
| gptkbp:is_related_to |
numerical analysis
|
| gptkbp:is_standardized_by |
high-performance systems
|
| gptkbp:is_supported_by |
various hardware architectures
|
| gptkbp:is_tested_for |
gptkb:academic_research
various algorithms supercomputing clusters |
| gptkbp:is_updated_by |
gptkb:HPL
|
| gptkbp:is_used_for |
algorithm development
|
| gptkbp:is_used_in |
data analysis
scientific computing numerical simulations |
| gptkbp:is_used_to |
compare system performance
assess computational efficiency |
| gptkbp:is_utilized_by |
research institutions
|
| gptkbp:is_utilized_for |
performance evaluation
|
| gptkbp:is_utilized_in |
engineering applications
|
| gptkbp:measures |
gptkb:FLOPS
performance in FLOPS |
| gptkbp:performance |
supercomputers
computational tasks matrix computations linear algebra algorithms |
| gptkbp:provides |
performance metrics
|
| gptkbp:requires |
high memory bandwidth
|
| gptkbp:successor |
gptkb:HPL
|
| gptkbp:used_by |
TOP500 list
|
| gptkbp:used_for |
measuring floating-point computing power
|
| gptkbp:bfsParent |
gptkb:Titan
|
| gptkbp:bfsLayer |
4
|