|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:can_be_used_in
|
real-time applications
|
|
gptkbp:designed_for
|
GPU computing
|
|
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
NVIDIA DLA (Deep Learning Accelerator)
|
|
gptkbp:is_available_on
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_compatible_with
|
gptkb:MPI
gptkb:Open_ACC
gptkb:Open_MP
C/ C++ programming languages
|
|
gptkbp:is_documented_in
|
NVIDIA Developer Documentation
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA_GPUs
gptkb:NVIDIA_Ampere_architecture
gptkb:NVIDIA_Turing_architecture
gptkb:NVIDIA_Volta_architecture
gptkb:NVIDIA_Pascal_architecture
|
|
gptkbp:is_part_of
|
gptkb:NVIDIA_HPC_SDK
gptkb:NVIDIA_AI_platform
NVIDIA data center solutions
NVIDIA cloud solutions
NVIDIA edge computing solutions
NVIDIA CUDA ecosystem
|
|
gptkbp:is_supported_by
|
NVIDIA forums
|
|
gptkbp:is_used_by
|
universities
industry leaders
research institutions
startups
|
|
gptkbp:is_used_in
|
gptkb:Graphics_Processing_Unit
image processing
financial modeling
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:machine_learning
deep learning
scientific computing
|
|
gptkbp:utilizes
|
GPU acceleration
|
|
gptkbp:bfsParent
|
gptkb:CUDA
|
|
gptkbp:bfsLayer
|
4
|