Abstract: System performance plays an important role in the era of big data. As such, the multiplication algorithm and hardware have evolved to improve system performance which can support a fast big ...

This project implements matrix multiplication optimization using Strassen's algorithm, a divide-and-conquer approach that reduces the complexity of matrix multiplication from (O(n^3)) to approximately ...

o The user inputs n, which determines a random number of matrices (1 to n). o A random dimension array (d[]) is generated, where d[i] represents the number of rows and columns for each matrix. o The ...

People tend to obsess over making computer software faster. You can, of course, just crank up the clock speed and add more processors, but often the most powerful way to make something faster is to ...

Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

Abstract: This paper first introduces cyclic vector multiplication algorithm (CVMA) that is a multiplication algorithm in extension field. Then, it is also introduced that CVMA is useful under the ...