This repository contains a C++ program that demonstrates parallelized matrix multiplication and convolution using OpenMP. The goal is to compare the performance of sequential and parallel executions, ...

Abstract: Convolution neural networks (CNNs) have been extensively used in machine learning applications. The most time-consuming part of CNNs are convolution operations. A common approach to ...

Abstract: In this work, we propose a multiplication-less deep convolution neural network, called BD-NET. As far as we know, BD-NET is the first to use binarized depthwise separable convolution block ...

This repo is a fork of alisaalehi/convolution_as_multiplication. In this fork I modify the method explained by Ali to simplify the transformations needed to create the Toeplitz filter matrix, the ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

In this note, it is proved the existence of an infinitely generated multiplicative group consisting of entire functions that are, except for the constant function 1, hypercyclic with respect to the ...