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gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:bfsLayer
|
3
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gptkbp:bfsParent
|
gptkb:CUDA
|
|
gptkbp:developed_by
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gptkb:NVIDIA_Corporation
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|
gptkbp:has
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gptkb:API
gptkb:document
community support
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|
https://www.w3.org/2000/01/rdf-schema#label
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NVIDIA cu DNN
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gptkbp:includes
|
tensor cores
|
|
gptkbp:integrates_with
|
gptkb:cu_BLAS
gptkb:cu_FFT
gptkb:CUDA
cu SPARSE
|
|
gptkbp:is
|
gptkb:military_unit
cross-platform
flexible
maintained
open source
scalable
efficient
widely used
modular
reliable
used in research
frequently updated
used in production
highly optimized
|
|
gptkbp:is_available_on
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gptkb:smartphone
gptkb:operating_system
|
|
gptkbp:is_compatible_with
|
NVIDIAGP Us
|
|
gptkbp:is_designed_for
|
deep learning
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA_Ampere_architecture
gptkb:NVIDIA_Turing_architecture
gptkb:NVIDIA_Volta_architecture
|
|
gptkbp:provides
|
performance tuning
multi-GPU support
automatic differentiation
mixed precision training
high-performance primitives
F P16 support
IN T8 support
|
|
gptkbp:released_in
|
gptkb:2014
|
|
gptkbp:supports
|
convolutional neural networks
RN Ns
GR Us
LST Ms
|
|
gptkbp:used_in
|
gptkb:Graphics_Processing_Unit
gptkb:Caffe
gptkb:Py_Torch
MX Net
|
|
gptkbp:written_in
|
gptkb:C++
|