Abstract: Matrix-vector multiplication is practically used in all Digital Signal Processing (DSP) algorithms. Particularly, in the channel emulation field, it is required to perform this algorithm in ...

For educational purposes, I implemented every algorithm in Java! I meant to make a book out of that, but who still reads books? If you find any issues, please fork the repository and send me a pull ...

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...

This repository contains a small JMH benchmark suite that measures the performance of post-quantum cryptography (PQC) primitives implemented via Bouncy Castle in Java, and compares them to classical ...

Dr. Michael Goldwasser joined the faculty at Saint Louis University in 2003, having previously been a faculty member at Loyola University in Chicago and a postdoc at Princeton University. He served as ...