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3.7 The Quest for Speed | Efficient Convolution Algorithms | Speeding Up CNNs for Deep Learning
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference
Groups, Depthwise, and Depthwise-Separable Convolution (Neural Networks)
Fast Algorithms for Convolutional Neural Networks
#BMVC2020 High-speed Light-weight CNN Inference via Strided Convolutions on a Pixel Processor Array
Oliver Sieberling - Dynamic Short Convolutions Improve Transformers
Session 6B: Optimizing Massively Parallel Winograd Convolution on ARM Processor
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs [MICRO'23]
CUDA Crash Course: 1-D Convolution with Constant Memory
![TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs [MICRO'23]](https://i.ytimg.com/vi/4gKYE9-YtP0/mqdefault.jpg)
