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gptkbp:instance_of
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gptkb:Library
|
|
gptkbp:can_be_used_in
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image processing
data analysis
scientific computing
signal processing
|
|
gptkbp:developed_by
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gptkb:NVIDIA
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gptkbp:has
|
performance benchmarks
performance optimization features
API for Python
example codes
API for C/ C++
API for Fortran
|
|
https://www.w3.org/2000/01/rdf-schema#label
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cu FFT
|
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gptkbp:includes
|
complex number support
real number support
|
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gptkbp:is_available_on
|
gptkb:Linux
gptkb:mac_OS
gptkb:Windows
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
gptkb:Open_ACC
gptkb:Open_MP
gptkb:Open_CL
|
|
gptkbp:is_documented_in
|
NVIDIA Developer Documentation
|
|
gptkbp:is_integrated_with
|
gptkb:cu_BLAS
gptkb:cu_DNN
cu SPARSE
|
|
gptkbp:is_known_for
|
flexibility
high performance
scalability
ease of use
|
|
gptkbp:is_optimized_for
|
gptkb:NVIDIA_architecture
|
|
gptkbp:is_part_of
|
parallel computing solutions
NVIDIA SDK
|
|
gptkbp:is_supported_by
|
community contributions
NVIDIA forums
|
|
gptkbp:is_updated_by
|
yes
|
|
gptkbp:is_used_by
|
gptkb:developers
industry professionals
research institutions
academic researchers
|
|
gptkbp:is_utilized_in
|
gptkb:machine_learning
audio processing
computer vision
deep learning
video processing
|
|
gptkbp:offers
|
multi-dimensional FFT
|
|
gptkbp:part_of
|
gptkb:CUDA_Toolkit
|
|
gptkbp:platform
|
gptkb:CUDA
|
|
gptkbp:provides
|
GPU acceleration
error handling mechanisms
streaming support
|
|
gptkbp:released_in
|
gptkb:2007
|
|
gptkbp:supports
|
batch processing
1 D FFT
2 D FFT
3 D FFT
|
|
gptkbp:used_for
|
Fast Fourier Transform
|
|
gptkbp:written_in
|
gptkb:C
|
|
gptkbp:bfsParent
|
gptkb:CUDA
|
|
gptkbp:bfsLayer
|
4
|