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, ...

"There are many efficient matrix multiplication algorithms, so using them we can have an efficient implementation of convolution operation.\n", " - put the sequence in the first column of the ...

Abstract: Data-driven intelligent diagnosis models need massive monitoring data to train themselves for satisfactory recognition performance. Nevertheless, in many industrial practices, collecting ...

Abstract: Fast time-domain algorithms have been developed in signal processing applications to reduce the multiplication complexity. For example, fast convolution structures using Cook-Toom and ...

The marriage of deep neural network (DNN) and secure 2-party computation (2PC) enables private inference (PI) on the encrypted client-side data and server-side models with both privacy and accuracy ...