Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Library
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:CUDA
|
| gptkbp:developed_by |
gptkb:NVIDIA_Corporation
|
| gptkbp:enhances |
performance of linear algebra operations
|
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA cu BLAS
|
| gptkbp:includes |
vector operations
matrix multiplication routines |
| gptkbp:integrates_with |
gptkb:NVIDIA_Tensor_RT
NVIDIADLA (Deep Learning Accelerator) |
| gptkbp:is_available_on |
gptkb:smartphone
gptkb:operating_system |
| gptkbp:is_compatible_with |
gptkb:MPI
gptkb:Open_ACC gptkb:Open_MP C/ C++ programming languages |
| gptkbp:is_designed_for |
GPU computing
|
| gptkbp:is_documented_in |
NVIDIA Developer Documentation
|
| gptkbp:is_optimized_for |
gptkb:NVIDIA_Ampere_architecture
gptkb:NVIDIA_Turing_architecture gptkb:NVIDIA_Volta_architecture gptkb:NVIDIA_Pascal_architecture NVIDIAGP Us |
| gptkbp:is_part_of |
NVIDIA data center solutions
NVIDIAHPCSDK NVIDIAAI platform NVIDIACUDA ecosystem NVIDIA cloud solutions NVIDIA edge computing solutions |
| gptkbp:is_supported_by |
NVIDIA forums
|
| gptkbp:is_used_by |
universities
industry leaders research institutions startups |
| gptkbp:is_used_in |
gptkb:technology
image processing financial modeling real-time applications bioinformatics computational fluid dynamics data science signal processing weather forecasting |
| gptkbp:part_of |
gptkb:CUDA_Toolkit
|
| gptkbp:provides |
performance tuning options
high performance computing capabilities BLAS (Basic Linear Algebra Subprograms) functionality |
| gptkbp:released_in |
gptkb:2006
|
| gptkbp:supports |
double precision
single precision CUDA architecture half precision |
| gptkbp:used_in |
gptkb:software_framework
deep learning scientific computing |
| gptkbp:utilizes |
GPU acceleration
|