|
gptkbp:instance_of
|
gptkb:servers
|
|
gptkbp:developed_by
|
gptkb:NVIDIA
|
|
gptkbp:enables
|
high-performance computing
real-time rendering
GPU computing
|
|
gptkbp:enhances
|
performance of applications
|
|
gptkbp:has
|
extensive documentation
large community support
numerous tutorials
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA's CUDA technology
|
|
gptkbp:improves
|
image processing
video processing
signal processing
|
|
gptkbp:includes
|
gptkb:CUDA_C/_C++_compiler
CUDA libraries
CUDA debugger
CUDA profiler
|
|
gptkbp:integrates_with
|
gptkb:Tensor_Flow
gptkb:Open_CV
gptkb:Py_Torch
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
|
|
gptkbp:is_key_technology_for
|
gptkb:simulation
computer vision
data analytics
AI applications
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA_GTX_series
gptkb:NVIDIA_RTX_series
gptkb:NVIDIA_Tesla_series
|
|
gptkbp:is_part_of
|
NVIDIA GPU architecture
|
|
gptkbp:is_supported_by
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_used_by
|
gptkb:developers
universities
data scientists
research institutions
|
|
gptkbp:provides
|
gptkb:CUDA_Toolkit
API for developers
|
|
gptkbp:released_in
|
gptkb:2006
|
|
gptkbp:supports
|
gptkb:C_programming_language
gptkb:Open_CL
C++ programming language
Fortran programming language
|
|
gptkbp:used_in
|
gptkb:machine_learning
deep learning
scientific computing
|
|
gptkbp:utilizes
|
parallel processing
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Pure_Video
|
|
gptkbp:bfsLayer
|
6
|