IEEE

Efficient Sparse Matrix-Vector Multiplication on GPUs using the CSR Format, Pinned Memory and Overlap Data Transfer

Abstract: The performance of sparse matrix vector multiplication (SpMV) is important to computational scientists. However, the SpMV on graphics processing units (GPUs) has poor performance due to ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
GitHub

OmniCoreAgent - Complete AI Development Platform

ℹ️ Project Renaming Notice: This project was previously known as mcp_omni-connect. It has been renamed to omnicoreagent to reflect its evolution into a complete AI development platform—combining both ...
IEEE

Beam Coordination via Diffusion Reduced-Rank Adaptation Over Array Networks With Parametric Matrix Combination

Abstract: Distributed and collaborative beamforming (DCBF) has been attracting increased interest due to its desirable scalability and enhanced robustness, whereas slow convergence would hinder ...
Morningstar

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center

SiFive’s New RISC-V IP Combines Scalar, Vector and Matrix Compute to Accelerate AI from the Far Edge IoT to the Data Center New X100 Series Joins Upgraded X200, X300 and XM IP to Address Growing ...
GitHub

Sensitivity Analysis with MATLAB for Student Competition Scores

This repository presents the MATLAB plotting approach for performing Sensitivity Analysis (SA) for student competitions. It is used here specifically to evaluate score sensitivity. It helps teams ...