@article{5f1b830b13b4474cb5c09dbf7933103d,
title = "IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors",
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",
note = "Funding Information: This work was supported in part by NSF ASSIST, in part by NSF Expeditions in Computing Award-1317560, and in part by the Center for Low Energy Systems Technology (one of the six Semiconductor Research Corporation (SRC) STARnet Centers sponsored by Microelectronics Advanced Research Corporation (MARCO) and DARPA). This work was also supported in part by National Natural Science Foundation of China (NSFC) Grant 61674094 and the Beijing Innovation Center for Future Chip. Publisher Copyright: {\textcopyright} 1981-2012 IEEE.",
year = "2018",
month = jul,
day = "1",
doi = "10.1109/MM.2018.043191121",
language = "English (US)",
volume = "38",
pages = "11--19",
journal = "IEEE Micro",
issn = "0272-1732",
publisher = "IEEE Computer Society",
number = "4",
}