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 ...

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 ...

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 ...

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 ...

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 ...