High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

Money is like water. Water responds to gravity, pressure, obstacles and also to the shape of its channel. Likewise, money habits of human beings react to their habits, behaviour, impulses, emotions, ...

While the high-profile feud between President Donald Trump and Representatives Marjorie Taylor Greene and Thomas Massie over the release of the Jeffrey Epstein case grabbed national headlines this ...

Welcome to MATRIX AI Network. Matrix AI Network was founded in 2017 with a team of young professionals who dare to think big while no bow to failures. Not just with dreams, the Team rolls up sleeves ...

As Transformer models continue to grow in size and complexity, numerous high-fidelity pruning methods have been proposed to mitigate the increasing parameter count. However, transforming these ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floating-point operations. Several previous studies have used floating-point operations to ...

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.

The aim is to multiply two matrices together.To multiply two matrices, the number of columns of the first matrix has to match the number of lines of the second matrix. The calculation of the matrix ...

Sedimentation tank design is of key importance in a water diversion project. Both physical and numerical models are used to study the hydrodynamics and sediment transport in the sedimentation tank of ...