What is recorded here?
Provided a lightweight C-language interface and optimized GPU convolution, pooling and activation primitives with forward/backward variants, reducing framework-specific kernel maintenance.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Original2014 library report, not a claim to invent convolution, CUDA or later cuDNN features. Performance/memory gains depend on the measured model, kernel and hardware; portable interface does not imply identical performance across arbitrary devices.
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People and systems
Sharan Chetlur; Cliff Woolley; Philippe Vandermersch; Jonathan Cohen; John Tran; Bryan Catanzaro; Evan Shelhamer
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
cuDNN: framework-independent GPU primitives for deep learning
Provided a lightweight C-language interface and optimized GPU convolution, pooling and activation primitives with forward/backward variants, reducing framework-specific kernel maintenance.
Scientific scope
Original2014 library report, not a claim to invent convolution, CUDA or later cuDNN features. Performance/memory gains depend on the measured model, kernel and hardware; portable interface does not imply identical performance across arbitrary devices.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Sharan Chetlur; Cliff Woolley; Philippe Vandermersch; Jonathan Cohen; John Tran; Bryan Catanzaro; Evan Shelhamer
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.