The natural multiply-and-accumulate feature of memristor crossbar arrays promise unprecedented processing capabilities to resistive dot-product engines (DPEs), which can accelerate approximate ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Abstract: It is known that the methods of distributed arithmetic can significantly improve the computational efficiency of calculating the inner products of two vectors. High efficiency is achieved in ...

Python list multiplication time: 0.00121 seconds NumPy array multiplication time: 0.00014 seconds About This repository contains a Jupyter notebook that benchmarks the execution time of element-wise ...