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

The world is not a Matrix-style simulation and humans are not just pawns being controlled by a supercomputer, boffins have confirmed. Russian philosopher Igor Shnurenko said human nature is based on a ...

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 ...

Data Structures and Algorithms is an important subject in any university curriculum for computer science stream. It provides a great tool in the hands of software engineers and plays significant role ...

Bad actors are leveraging browser notifications as a vector for phishing attacks to distribute malicious links by means of a new command-and-control (C2) platform called Matrix Push C2. "This ...