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 ...

Abstract: Sparse general matrix-matrix multiplication is widely used in data mining applications. Its irregular memory access patterns limit the performance of general-purpose processors, thus ...

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 ...

Recently, users have voiced concerns over a design flaw in the $4000 ASUS ROG Matrix RTX 5090 GPU, specifically regarding its 16-pin power connector. The connector appears slightly misaligned, which ...

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.

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 ...

From arrays to trees, this guide makes data structures simple. Master the basics and start building smarter, faster code today. Judge rules Tampa’s Walton Academy charter school must close immediately ...

A ground-breaking approach using "small data" machine learning could revolutionize mental healthcare by predicting individual crises before they escalate. Published in Med Research, the study ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

Arkansas is on track to see construction of three proposed data center projects in the next year valued at a combined $12 billion. Plans for the huge centers, which are not yet set in stone, come as ...