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DREW: Efficient Winograd CNN Inference with Deep Reuse
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
DWM: A Decomposable Winograd Method for Convolution Acceleration
David Gregg - Improving the Accuracy and Speed of Winograd Convolution for Deep Neural Networks
tinyML Summit 2021 tiny Talks: Low-precision Winograd Convolution over Residue Number System
The Winograd Transformation
[Short version] Accelerating Winograd convolutions using symbolic computation and meta-programming
Efficient non-fused Winograd on GPUs
OpenCL Optimization 6 Optmizing the Range Reduction
Fast Algorithms for Convolutional Neural Networks
Optimizing Parallel Reduction in NVIDIA's CUDA
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Last Updated: August 16, 2026
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