IEEE

Efficient Stride 2 Winograd Convolution Method Using Unified Transformation Matrices on FPGA

Abstract: Winograd algorithm can effectively reduce the computational complexity of convolution operation. Effectively using the parallelism of Winograd convolution algorithm can effectively improve ...
IEEE

Winograd Convolution: A Perspective from Fault Tolerance

Abstract: Winograd convolution is originally proposed to reduce the computing overhead by converting multiplication in neural network (NN) with addition via linear transformation. Other than the ...
GitHub

Winograd F(2,3) Algorithm — From 1D Transform to 2D Transform Using Integer Inputs

This project implements and verifies the Winograd F(2,3) convolution algorithm using integer arithmetic in Verilog and ModelSim. The project starts with 1D Winograd transform implementation and ...
GitHub

acl_winograd_convolution.hpp

* you may not use this file except in compliance with the License. * You may obtain a copy of the License at * http://www.apache.org/licenses/LICENSE-2.0 * Unless ...