Overview This project addresses the implementation and evaluation of distributed approaches for matrix multiplication using MapReduce. It focuses on how different methods can efficiently handle ...

Abstract: One popular application for big data is matrix multiplication, which has been solved using many approaches. Recently, researchers have applied MapReduce as a new approach to solve this ...

Abstract: Matrix multiplication is widely used in various applications of linear algebra. The efficiency of matrix multiplication in the MapReduce model is bounded by the workload of intermediate ...

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, ...