Abstract: Sparse matrices have recently played a significant and impactful role in scientific computing, including artificial intelligence-related fields. According to historical studies on sparse ...
Abstract: Parallel Sparse Matrix Vector Multiplication (PSpMV) is a compute intensive kernel used in iterative solvers like Conjugate Gradient, GMRES and Lanzcos. Numerous attempts at optimizing this ...
This project involves designing, simulating, and debugging a matrix-vector multiplication module using Hardware Description Language (HDL). The goal is to validate the design at different levels and ...