Statements (62)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:High-Performance_Linpack_(HPL)
gptkb:LINPACK_for_GPU |
| gptkbp:developed_by |
gptkb:Netlib
|
| gptkbp:has_version |
Level 1, Level 2, Level 3
|
| https://www.w3.org/2000/01/rdf-schema#label |
BLAS library
|
| gptkbp:is_available_on |
gptkb:software
gptkb:multiple_platforms |
| gptkbp:is_compatible_with |
C, C++, Python
|
| gptkbp:is_documented_in |
BLAS Technical Report
|
| gptkbp:is_implemented_in |
various programming languages
|
| gptkbp:is_often_used_in |
scientific computing
|
| gptkbp:is_optimized_for |
GPU acceleration
high performance computing multi-threading vectorization |
| gptkbp:is_part_of |
gptkb:aircraft
gptkb:Database_Management_System gptkb:ATLAS gptkb:MKL gptkb:Open_BLAS data visualization tools deep learning frameworks machine learning libraries computational biology tools numerical analysis tools scientific libraries computational chemistry tools AI libraries numerical software data science libraries graphical libraries optimization libraries computational engineering tools computational finance tools computational mathematics tools computational physics tools |
| gptkbp:is_related_to |
gptkb:Eigen
gptkb:LAPACK gptkb:Sci_Py gptkb:Num_Py |
| gptkbp:is_standardized_by |
BLAS Technical Forum
|
| gptkbp:is_supported_by |
gptkb:DJ
gptkb:Intel gptkb:AMD |
| gptkbp:is_used_by |
data analysis tools
machine learning frameworks |
| gptkbp:is_used_for |
linear algebra operations
|
| gptkbp:is_used_in |
gptkb:quantum_computing
gptkb:technology image processing financial modeling statistical analysis bioinformatics signal processing engineering simulations |
| gptkbp:performance |
performance of linear algebra routines
|
| gptkbp:provides |
basic linear algebra subprograms
|
| gptkbp:supports |
matrix multiplication
vector operations |
| gptkbp:written_in |
gptkb:Fortran
|