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

By transforming operands into a Montgomery domain, these algorithms enable efficient modular multiplication and exponentiation, which are crucial for public-key cryptosystems.

Matrix multiplication is an important topic of linear algebra and is something that is not intuitive as you might think. When you think about multiplication and matrix, the thing that comes to your ...

Parallel computing is an important method used in high performance computing. A new SIMD architecture named ESCA (Engineering and Science Computing Accelerator) is introduced briefly in this paper. It ...

In this paper, we propose a scheme for matrix-matrix multiplication on a distributed-memory parallel computer. The scheme hides almost all of the communication cost with the computation and uses the ...

ONE STOP FOR CSE/ISE LAB SOLUTIONS OF VTU (SCHEMES INCLUDED ARE +2015 +2017 +2018) ...