File(s) under embargo

8

month(s)

2

day(s)

until file(s) become available

ENOS: Energy Aware Network Operator Search

thesis
posted on 01.05.2021, 00:00 authored by Yuti Devang Kadakia
Until recent times, DNNs have been designed using conventional high-precision operator which gives maximum accuracy but is not energy efficient. With the invent of new computationally efficient correlation operators, accuracy deterioration becomes a problem. In addition, all DNNs use a single correlation operator for end-to-end processing. In these cases, using only a high precision operator might not be energy efficient and using alternate operators might affect the accuracy. Thus, an optimal solution would be to systematically combine these operators to maintain the energy-accuracy tradeoff. This is the main goal of my framework called ENOS : Energy Aware Network Operator Search where if the energy constraints for an application is established, the operator sequence for different layers can be automatically synthesized while maximizing the prediction accuracy.

History

Advisor

Trivedi, Amit Ranjan

Chair

Trivedi, Amit Ranjan

Department

Electrical and Computer Engineering

Degree Grantor

University of Illinois at Chicago

Degree Level

Masters

Degree name

MS, Master of Science

Committee Member

Cetin, Ahmet Enis Rao, Wenjing

Submitted date

May 2021

Thesis type

application/pdf

Language

en

Usage metrics

Categories

Exports