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Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

Charlotte Christopherson

Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse Beu, Matthew Mattina, Robert Mullins

The Winograd or Cook-Toom class of algorithms help to reduce the overall compute complexity of many modern deep convolutional neural networks (CNNs). Although there has been…
- Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.pdf
- over 1 year ago
- Arm Research
- Resources
Arm ML Research Enables Augmented Reality Mobile Apps through Low-Power Machine Learning

Paul Whatmough

Augmented reality (AR) is a technology where virtual content is overlaid on top of the real world. If you’ve ever played with Snapchat “Lenses” on your mobile phone, to transform a selfie with a cartoon monocle or dog ears, you will…
- over 2 years ago
- Arm Research
- Research Articles