IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors

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

doi:10.1109/MM.2018.043191121

IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors

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

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

Battery-less 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. We explore a combination of approximate computing and intermittent computing-incidental approximate architecture to suit nonvolatile processors (NVPs).

Original language	English (US)
Article number	8430617
Pages (from-to)	11-19
Number of pages	9
Journal	IEEE Micro
Volume	38
Issue number	4
DOIs	https://doi.org/10.1109/MM.2018.043191121
State	Published - Jul 1 2018

All Science Journal Classification (ASJC) codes

Software
Hardware and Architecture
Electrical and Electronic Engineering

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abstract = "Battery-less 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. We explore a combination of approximate computing and intermittent computing-incidental approximate architecture to suit nonvolatile processors (NVPs).",

author = "Kaisheng Ma and Jinyang Li and Xueqing Li and Yongpan Liu and Yuan Xie and Mahmut Kandemir and Jack Sampson and Vijaykrishnan Narayanan",

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AU - Li, Jinyang

AU - Li, Xueqing

AU - Liu, Yongpan

AU - Xie, Yuan

AU - Kandemir, Mahmut

AU - Sampson, Jack

AU - Narayanan, Vijaykrishnan

PY - 2018/7/1

Y1 - 2018/7/1

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IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors

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