Incidental computing on IoT nonvolatile processors

Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan

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

22 Scopus citations

Abstract

Batteryless IoT devices powered through energy harvesting face a fundamental imbalance between the potential volume of collected data and the amount of energy available for processing that data locally. However, many such devices performsimilar operations across each new input record, which provides opportunities for mining the potential information in buffered historical data, at potentially lower effort, while processing new data rather than abandoning old inputs due to limited computational energy. We call this approach incidental computing, and highlight synergies between this approach and approximation techniques when deployed on a non-volatile processor platform (NVP). In addition to incidental computations, the backup and restore operations in an incidental NVP provide approximation opportunities and optimizations that are unique to NVPs. We propose a variety of incidental approximation approaches suited to NVPs, with a focus on approximate backup and restore, and approximate recomputation in the face of power interruptions. We perform RTL level evaluation for many frequently used workloads.We show that these incidental techniques provide an average of 4.2X more forward progress than precise NVP execution.

Original languageEnglish (US)
Title of host publicationMICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings
PublisherIEEE Computer Society
Pages204-218
Number of pages15
ISBN (Electronic)9781450349529
DOIs
StatePublished - Oct 14 2017
Event50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017 - Cambridge, United States
Duration: Oct 14 2017Oct 18 2017

Publication series

NameProceedings of the Annual International Symposium on Microarchitecture, MICRO
VolumePart F131207
ISSN (Print)1072-4451

Other

Other50th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2017
CountryUnited States
CityCambridge
Period10/14/1710/18/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture

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  • Cite this

    Ma, K., Li, X., Li, J., Liu, Y., Xie, Y., Sampson, J., Kandemir, M. T., & Narayanan, V. (2017). Incidental computing on IoT nonvolatile processors. In MICRO 2017 - 50th Annual IEEE/ACM International Symposium on Microarchitecture Proceedings (pp. 204-218). (Proceedings of the Annual International Symposium on Microarchitecture, MICRO; Vol. Part F131207). IEEE Computer Society. https://doi.org/10.1145/3123939.3124533