GitHub

A Python demonstration of speeding up matrix multiplication and reducing memory using a quantum-inspired low-rank SVD trick, with examples in AI.

This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...
Physics World

Photonic metastructure does vector–matrix multiplication

Photonic innovation: researchers in the US have created an optical metamaterial that can perform vector–matrix multiplication. (Courtesy: iStock/Henrik5000) A new silicon photonics platform that can ...
IEEE

A Serial–Parallel Mixing-Mode Matrix–Vector Multiplication Architecture for Large-Scale In-Storage Computing With Ultrahigh Parallelism in NAND Flash Memories

Abstract: A novel mixing-mode in-storage-computing (iSC) architecture is proposed and derived as an efficient and promising approach for large-scale matrix– vector multiplication (MVM) operation. It ...
GitHub

MPI implementation and performance comparison of dense and sparse (CSR) matrix-vector multiplication

τον χρόνο εκτέλεσης τη συμπεριφορά κλιμάκωσης την απόδοση dense vs CSR για διαφορετικά ποσοστά μηδενικών στοιχείων.
IEEE

Performance Analysis of the Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...
InfoQ

MIT Researchers Open-Source Approximate Matrix Multiplication Algorithm MADDNESS

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...