MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat instead of electricity. These tiny structures could someday enable more ...

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 my daily practice of Data Structures and Algorithms in Java. Problems are solved with clean code and a focus on logic and optimization. Added basic problems on if-else, nested ...