Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios

Md Fahim Faysal Khan, Nicholas Anton Jao, Changchi Shuai, Keni Qiu, Mehrdad Mahdavi, Vijaykrishnan Narayanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crossbar arrays with non-volatile memory have recently become very popular for DNN acceleration due to their In-Memory-Computing property and low power requirements which makes them suitable for deployment on edge. Quantized Neural Networks (QNNs) enable us to run inference with limited hardware resource and power availability and can easily be ported on smaller devices. On the other hand, to make edge devices self sustainable a great deal of promise has been shown by energy harvesting scenarios. However, the power supplied by the energy harvesting sources is not constant which becomes problematic as a fixed trained neural network requires a constant amount of power to run inference. This work addresses this issue by tuning network precision at layer granularity for variable power availability predicted for different energy harvesting scenarios.

Original languageEnglish (US)
Title of host publicationInternet of Things. A Confluence of Many Disciplines - 2nd IFIP International Cross-Domain Conference, IFIPIoT 2019, Revised Selected Papers
EditorsAugusto Casaca, Srinivas Katkoori, Sandip Ray, Leon Strous
PublisherSpringer
Pages197-216
Number of pages20
ISBN (Print)9783030436049
DOIs
StatePublished - Jan 1 2020
Event2nd IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2019 - Tampa, United States
Duration: Oct 31 2019Nov 1 2019

Publication series

NameIFIP Advances in Information and Communication Technology
Volume574 IFIP
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference2nd IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2019
CountryUnited States
CityTampa
Period10/31/1911/1/19

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

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    Khan, M. F. F., Jao, N. A., Shuai, C., Qiu, K., Mahdavi, M., & Narayanan, V. (2020). Mixed Precision Quantization Scheme for Re-configurable ReRAM Crossbars Targeting Different Energy Harvesting Scenarios. In A. Casaca, S. Katkoori, S. Ray, & L. Strous (Eds.), Internet of Things. A Confluence of Many Disciplines - 2nd IFIP International Cross-Domain Conference, IFIPIoT 2019, Revised Selected Papers (pp. 197-216). (IFIP Advances in Information and Communication Technology; Vol. 574 IFIP). Springer. https://doi.org/10.1007/978-3-030-43605-6_12