gptkbp:instanceOf
|
parallel computing platform
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gptkbp:API
|
parallel computing API
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gptkbp:architecture
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gptkb:SIMT
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gptkbp:competitor
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gptkb:ROCm
gptkb:DirectCompute
gptkb:OpenCL
gptkb:Metal_Performance_Shaders
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gptkbp:developer
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gptkb:NVIDIA
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gptkbp:documentation
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https://docs.nvidia.com/cuda/
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gptkbp:enables
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general-purpose computing on GPUs
|
https://www.w3.org/2000/01/rdf-schema#label
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NVIDIA CUDA
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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
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gptkbp:license
|
proprietary
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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
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gptkb:TensorFlow
gptkb:MATLAB
gptkb:OpenCV
gptkb:PyTorch
Blender
|
gptkbp:usedFor
|
gptkb:machine_learning
deep learning
high-performance computing
scientific computing
|
gptkbp:website
|
https://developer.nvidia.com/cuda-zone
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gptkbp:bfsParent
|
gptkb:Jensen_Huang
gptkb:NVIDIA_AI
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gptkbp:bfsLayer
|
5
|