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[Long version] Accelerating Winograd convolutions using symbolic computation and meta-programming
DWM: A Decomposable Winograd Method for Convolution Acceleration
Types of convolution: Lecture-42
The Winograd Schema Challenge
The Winograd Transformation
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
Session 6B: Optimizing Massively Parallel Winograd Convolution on ARM Processor
Fast Algorithms for Convolutional Neural Networks
tinyML Summit 2021 tiny Talks: Low-precision Winograd Convolution over Residue Number System
Ali Ghodsi, Lec [6], Deep Learning: convolutional network
Mod-01 Lec-29 Convolution algorithm-I
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Last Updated: August 23, 2026
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![[Long version] Accelerating Winograd convolutions using symbolic computation and meta-programming](https://i.ytimg.com/vi/lI6e2v7OHrM/mqdefault.jpg)
![Ali Ghodsi, Lec [6], Deep Learning: convolutional network](https://i.ytimg.com/vi/ZMBp7_qqtLE/mqdefault.jpg)
