Properties (44)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Benchmark
|
| gptkbp:associated_with |
numerical analysis
|
| gptkbp:basedOn |
solving a system of linear equations
|
| gptkbp:evaluates |
hardware capabilities
|
| https://www.w3.org/2000/01/rdf-schema#label |
LINPACK Benchmark
|
| gptkbp:includes |
dense matrix operations
|
| gptkbp:influenced |
matrix factorization techniques
|
| gptkbp:introduced |
1970s
|
| gptkbp:is_a_resource_for |
floating-point performance
scientific research has evolved over time is used in industry is recognized globally is used in competitions is updated regularly requires significant computational resources has various implementations is critical for performance evaluation tests matrix operations |
| gptkbp:is_a_tool_for |
system optimization
|
| gptkbp:is_essential_for |
algorithm development
performance tuning |
| gptkbp:is_evaluated_by |
the number of FLOPS achieved
|
| gptkbp:is_part_of |
Top500 list of supercomputers
|
| gptkbp:is_recognized_for |
gptkb:Fortran
C_and_C++_languages |
| gptkbp:is_used_in |
scientific computing
academic papers high-performance computing (HPC) evaluating supercomputers rank supercomputers |
| gptkbp:measures |
computational speed
performance of linear algebra computations |
| gptkbp:operates_in |
various architectures
|
| gptkbp:performance |
parallel processing
|
| gptkbp:produces |
gptkb:Jack_Dongarra
|
| gptkbp:provides |
a measure of floating-point operations per second (FLOPS)
|
| gptkbp:related_to |
engineering applications
BLAS (Basic Linear Algebra Subprograms) |
| gptkbp:relatedTo |
computational efficiency of different systems
|
| gptkbp:requires |
high memory bandwidth
|
| gptkbp:successor |
HPL (High-Performance LINPACK)
|
| gptkbp:traditions |
for measuring supercomputer performance
|
| gptkbp:was_a_factor_in |
supercomputer design
|