High-performance matrix multiplication ... refine algorithms to exploit modern processor architectures, enhancing performance through strategies such as blocking, vectorisation, and architecture ...

This is an implementation of the Karatsuba polynomial multiplication algorithm in the LEGv8 assembly language, a RISC ISA part of the ARM architecture family. This was done as my final project for ECE ...

Google DeepMind published a paper describing their AlphaEvolve coding agent. AlphaEvolve uses LLMs to discover and optimize algorithms across various domains, including hardware design and data center ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about ...

Both are based on binary systems, and the Dutch artist Anna Lucia Goense is mining that fact for inspiration. Needlework and ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. A team of researchers at AI Google Quantum ...

Abstract: In this paper, we propose a scheme for matrix-matrix multiplication on ... times the number of nodes in the computer, which is the peak performance obtainable for parallel BLAS. Another ...

Insights from data and machine learning algorithms can be invaluable ... know your data, and keep your organization’s values firmly in mind. And with that in mind, here are a handful of high ...

Abstract: In this work we propose a graph based minimum adder depth algorithm for the multiple constant multiplication (MCM) problem. Hence, all multiplier coefficients are here guaranteed to be ...

But algorithms would get a major upgrade with the work of Emil Post and Alan Turing in the 1930s that would ultimately give rise to the modern computer. Nothing would be the same again.