184 citations · 184 across the 3 of their papers we have counts for
3 papers
Reversible Computing with Fast, Fully Static, Fully Adiabatic CMOS
Michael P. Frank, Robert W. Brocato, Brian D. Tierney +2
To advance the energy efficiency of general digital computing far beyond the thermodynamic limits that apply to conventional digital circuits will require utilizing the principles…
Using Floating Gate Memory to Train Ideal Accuracy Neural Networks
Sapan Agarwal, Diana Garland, John Niroula +7
Floating gate SONOS (Silicon-Oxygen-Nitrogen-Oxygen-Silicon) transistors can be used to train neural networks to ideal accuracies that match those of floating point digital weights…
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator
Matthew J. Marinella, Sapan Agarwal, Alexander Hsia +6
Neural networks are an increasingly attractive algorithm for natural language processing and pattern recognition. Deep networks with >50M parameters are made possible by modern GPU…