Abstract: Multiplication is a fundamental step in many algorithms. If the multiplication of two integers of n words has a complexity of M(n), divisions and squares can be computed in O(M(n)) as well ...

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 ...

A high-performance implementation of matrix multiplication using Strassen’s algorithm and OpenMP-based parallelization. Developed as part of a Parallel Computing course to explore recursive algorithms ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

Montgomery algorithms represent a transformative advancement in the computation of modular arithmetic, specifically designed to bypass the costly division steps inherent in traditional methods. By ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Can artificial intelligence (AI) create its ...

There was an error while loading. Please reload this page.