This repository contains the SystemVerilog code and simulation results for a systolic array-based matrix-vector multiplication for signed 8 bit integers. The architecture is designed to perform the ...
This C++ project simulates matrix multiplication with a shared vector, showcasing the principles of parallel computing and shared memory utilization. Matrix multiplication is a fundamental operation ...
Abstract: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...
Abstract: We propose a nonlinear optical approach for ultra-fast, matrix-vector multiplications as required in machine-learning tasks. Optical multiplication is experimentally demonstrated, with less ...
Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...
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 ...
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