For instance, one study presented a blocked matrix multiplication implementation that leverages the Intel AVX-512 extensions, achieving remarkable performance on the Intel Knights Landing (KNL ...

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

Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...

Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes or ...

️ Description: 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 ...

A project to analyze and compare the performance of Strassen’s algorithm for matrix multiplication against standard matrix multiplication techniques. - Releases · ...