Implemented the conventional and Strassen's matrix multiplication algorithms for 𝑛 × 𝑛 matrices and determined the optimal cross-over point both analytically and experimentally. For 𝑛 × 𝑛 matrices ...

The project presents the development and implementation of parallel algorithms for matrix-matrix multiplication aimed at effectively large scale computational tasks.Leveraging modern parallel ...

High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...

In fact, fast matrix multiplication algorithms with smaller exponent than Strassen’s in their computational complexity require even less communication. I’ll talk about recent development in ...

Summary form only given. We describe a novel parallel algorithm that implements a dense matrix multiplication operation with algorithmic efficiency equivalent to that of Cannon's algorithm. It is ...