Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National ...

This requires an algorithm: students are taught to stack one number atop another and multiply each digit of the bottom number ...

Matrix multiplication is a key operation in scientific computing and machine learning, with GPU libraries like NVIDIA Cutlass and cuBLAS providing optimized implementations of the three nested loop ...

Matrix multiplication is one of the most basic algebraic operations. Since Strassen's surprising breakthrough algorithm from 1969, which showed that matrices can be multiplied faster than the most ...

The $1.46M Honor of Kings Challenger Cup started on April 25, and a unique team stepped onto the stage: Alibaba PKQ, representing Chinese tech giant Alibaba. As one of 32 teams competing in Honor of ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Delivering truth was never about facts. Throughout history, from traditions to search engines and now language models, there has always been an algorithmic gatekeeper. Not necessarily deliberate, or ...

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 ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...