|
gptkbp:instance_of
|
gptkb:software_framework
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA's_Pure_Video_HD
|
|
gptkbp:developed_by
|
gptkb:DJ
|
|
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
|
CUDA libraries
CUDA debugger
CUDA profiler
CUDAC/ C++ compiler
|
|
gptkbp:integrates_with
|
gptkb:Graphics_Processing_Unit
gptkb:Open_CV
gptkb:Py_Torch
|
|
gptkbp:is_compatible_with
|
NVIDIAGP Us
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA_Tesla_series
NVIDIARTX series
NVIDIAGTX series
|
|
gptkbp:is_part_of
|
NVIDIAGPU architecture
|
|
gptkbp:is_supported_by
|
gptkb:smartphone
gptkb:operating_system
|
|
gptkbp:is_used_by
|
gptkb:software
universities
data scientists
research institutions
|
|
gptkbp:key_issues
|
gptkb:aircraft
computer vision
data analytics
AI applications
|
|
gptkbp:provides
|
gptkb:CUDA_Toolkit
API for developers
|
|
gptkbp:released_in
|
gptkb:2006
|
|
gptkbp:supports
|
gptkb:software
gptkb:language
C++ programming language
Fortran programming language
|
|
gptkbp:used_in
|
gptkb:software_framework
deep learning
scientific computing
|
|
gptkbp:utilizes
|
parallel processing
|