|
gptkbp:instanceOf
|
gptkb:parallel_computing_platform
|
|
gptkbp:API
|
parallel computing API
|
|
gptkbp:architecture
|
gptkb:SIMT
|
|
gptkbp:competitor
|
gptkb:ROCm
gptkb:DirectCompute
gptkb:OpenCL
gptkb:Metal_Performance_Shaders
|
|
gptkbp:developer
|
gptkb:NVIDIA
|
|
gptkbp:documentation
|
https://docs.nvidia.com/cuda/
|
|
gptkbp:enables
|
general-purpose computing on GPUs
|
|
gptkbp:includes
|
gptkb:CUDA_Profiler
gptkb:CUDA_Driver
gptkb:CUDA_Toolkit
gptkb:cuDNN
gptkb:CUDA_Driver_API
gptkb:CUDA_Math_Library
gptkb:CUDA_Runtime_API
gptkb:nvcc
gptkb:NCCL
Thrust
|
|
gptkbp:latestReleaseVersion
|
2024
12.4
|
|
gptkbp:license
|
proprietary
|
|
gptkbp:operatingSystem
|
gptkb:Windows
gptkb:macOS
gptkb:Linux
|
|
gptkbp:platform
|
gptkb:NVIDIA_GPUs
|
|
gptkbp:programmingLanguage
|
gptkb:Java
gptkb:Python
gptkb:Fortran
gptkb:C++
gptkb:MATLAB
C
|
|
gptkbp:releaseDate
|
2007
|
|
gptkbp:supports
|
heterogeneous computing
tensor cores
dynamic parallelism
peer-to-peer memory access
streams and events
unified memory
FP16, FP32, FP64 precision
multi-GPU programming
|
|
gptkbp:usedBy
|
gptkb:TensorFlow
gptkb:MATLAB
gptkb:Blender
gptkb:OpenCV
gptkb:PyTorch
|
|
gptkbp:usedFor
|
gptkb:machine_learning
deep learning
high-performance computing
scientific computing
|
|
gptkbp:website
|
https://developer.nvidia.com/cuda-zone
|
|
gptkbp:bfsParent
|
gptkb:Jensen_Huang
|
|
gptkbp:bfsLayer
|
5
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA CUDA
|