Update 2025.11.27: Major refactoring into modular architecture (Module A/B/C/D) with unified interface and comprehensive benchmark suite. Update 2025.06.25: Added ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

This story discusses suicide. If you or someone you know is having thoughts of suicide, please contact the Suicide & Crisis Lifeline at 988 or 1-800-273-TALK (8255). Two families filed a wrongful ...

FORT BELVOIR, Va. -- The U.S. Army recently completed a data center as-a-service (DCaaS) implementation and data center modernization project at Joint Base Lewis-McChord (JBLM), Washington. The ...

The Miami Dolphins seemingly valued Champ Kelly’s fresh set of eyes, analytical background and his prior experience serving as an interim general manager for the Las Vegas Raiders. That’s why owner ...

Olayinka Ajala does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

New work requirements are expected to leave millions of poor Americans uninsured. For Equifax, which charges states steep prices for its trove of employment data, it is a business opportunity. Credit.

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...

WEST LAFAYETTE, Ind. — A new artificial intelligence platform has been launched to help users more quickly develop composite materials and structures without requiring in-depth technical jargon or ...