Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

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 clusters operating at

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Bibliographic Details
Published in:arXiv.org 2018-02
Main Authors: Marinella, Matthew J, Agarwal, Sapan, Hsia, Alexander, Richter, Isaac, Jacobs-Gedrim, Robin, Niroula, John, Plimpton, Steven J, Engin Ipek, James, Conrad D
Format: Article
Language:English
Subjects:
Accelerators
Accuracy
Algorithms
Analog circuits
Circuit design
CMOS
Co-design
Design
Design analysis
Multiscale analysis
Natural language processing
Neural networks
Optimization
Pattern recognition
Static random access memory
Training
Online Access:Get full text
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Description
Summary: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 clusters operating at
ISSN:2331-8422
DOI:10.48550/arxiv.1707.09952