NVIDIA CUDA

GPTKB entity

Statements (75)
Predicate Object
gptkbp:instance_of gptkb:servers
gptkbp:allows GPU programming
parallel execution of threads
gptkbp:developed_by gptkb:NVIDIA_Corporation
gptkbp:enables GPU acceleration
real-time rendering
GPU computing
gptkbp:enhances machine learning performance
gptkbp:first_released gptkb:2006
gptkbp:has extensive documentation
CUDA cores
tutorials available online
large developer community
https://www.w3.org/2000/01/rdf-schema#label NVIDIA CUDA
gptkbp:improves performance of applications
gptkbp:includes gptkb:CUDA_C/_C++_compiler
gptkb:CUDA_Driver
gptkb:CUDA_Runtime
gptkb:CUDA_Toolkit
CUDA libraries
gptkbp:integrates_with gptkb:Tensor_Flow
gptkb:Py_Torch
gptkbp:is cross-platform
widely adopted
open standard
widely used in industry
continuously updated
used in gaming
widely used in academia
used in financial modeling
used in robotics
used in cloud computing
used in bioinformatics
used in image processing
used in simulations
used in augmented reality
used in virtual reality
used in high-performance computing (HPC)
used in autonomous vehicles
supported by major operating systems
integrated with MATLAB
integrated with Py Torch
integrated with Tensor Flow
part of NVIDIA's software ecosystem
used in video rendering
used in AI research
gptkbp:is_compatible_with gptkb:NVIDIA_GPUs
gptkbp:provides API for developers
performance optimization tools
parallel execution model
API for GPU programming
libraries for FFT
libraries for linear algebra
libraries for random number generation
gptkbp:supports gptkb:C_programming_language
gptkb:Linux_operating_system
gptkb:operating_system
gptkb:mac_OS
gptkb:Open_CL
C++ programming language
multi-GPU configurations
Fortran programming language
gptkbp:used_in gptkb:machine_learning
image processing
computer vision
data analytics
deep learning
financial modeling
high-performance computing
scientific computing
bioinformatics
video encoding
gptkbp:bfsParent gptkb:NVIDIA_Corporation
gptkb:NVIDIA
gptkbp:bfsLayer 4