Publication

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

Related publications (79)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

Graph Chatbot

Chat with Graph Search

Building Virtualization Engine: a Novel Approach Based on Discrete Event Simulation

An MIG-based Compiler for Programmable Logic-in-Memory Architectures

Near-Memory Data Services

Memory-error tolerance of Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines in Deep Belief Network

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Multi-Objective BDD Optimization for RRAM based Circuit Design

Imaging and manipulation of skyrmion lattice domains in Cu2OSeO3

ShiDianNao: shifting vision processing closer to the sensor

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Large-scale neural networks implemented with nonvolatile memory as the synaptic weight element: comparative performance analysis (accuracy, speed, and power)