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, ...
This project demonstrates the acceleration of the convolutional layer of the AlexNet architecture on an FPGA using the Vitis-Vivado-PYNQ framework. The goal is to improve image classification ...
Abstract: Data-driven intelligent diagnosis models need massive monitoring data to train themselves for satisfactory recognition performance. Nevertheless, in many industrial practices, collecting ...
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 ...
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 ...
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