Fetching the paper…
Reading the bibliography…
This paper describes maxDNN, a computationally efficient convolution kernel for deep learning with the NVIDIA Maxwell GPU.
Learning methods for generic object recognition with invariance to pose and lighting
Yann LeCun, Fu Jie Huang, and Leon Bottou · 2004
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
cudnn: Efficient primitives for deep learning
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer · 2014
Earlier work this paper cites.
Fast convolutional nets with fbfft: A GPU performance evaluation
Nicolas Vasilache, Jeff Johnson, Michaël Mathieu, Soumith Chintala, Serkan Piantino, and Yann LeCun · 2014
Cited alongside, same era.
convnet-benchmarks
Soumith Chintala · 2015
Cited alongside, same era.
Maxas: Assembler for nvidia maxwell architecture
Scott Gray · 2015
Closest in time.
cuda-convnet2
Alex Krizhevsky · 2015
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…