2016
DOI: 10.1145/3001936
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Non-Volatile Processor Based on MRAM for Ultra-Low-Power IoT Devices

Abstract: Over the past few years, a new era of smart connected devices has emerged in the market to enable the future world of the Internet of Things (IoT). A key requirement for IoT applications is the power consumption to allow very high autonomy in the case of battery-powered systems. Depending on the application, such devices will be most of the time in a low-power mode (sleep mode) and will wake up only when there is a task to accomplish (active mode). Emerging non-volatile memory technologies are seen as a very a… Show more

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Cited by 43 publications
(17 citation statements)
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“…The intermittency of such power supply would necessitate backup/reinitialization schemes for computational accuracy, which could be so recurrent as to impact forward progress and incur significant energy overhead [41]. Approximation-based computing in applications that are amenable to approximation [42], nonvolatile Ferroelectric random-access memory [43], resistive randomaccess memory [44], magnetic random-access memory [45], negative capacitance field-effect transistors [46], and ferroelectric field-effect transistors [47] based processing are alternatives currently being explored for LENs applications. Emerging technologies are further exploring nonvolatile spintronic-based processors that use an electron spin state rather than capacitive switching [48].…”
Section: Background and Recent Trends In Energy Efficiency: A Taxonomymentioning
confidence: 99%
“…The intermittency of such power supply would necessitate backup/reinitialization schemes for computational accuracy, which could be so recurrent as to impact forward progress and incur significant energy overhead [41]. Approximation-based computing in applications that are amenable to approximation [42], nonvolatile Ferroelectric random-access memory [43], resistive randomaccess memory [44], magnetic random-access memory [45], negative capacitance field-effect transistors [46], and ferroelectric field-effect transistors [47] based processing are alternatives currently being explored for LENs applications. Emerging technologies are further exploring nonvolatile spintronic-based processors that use an electron spin state rather than capacitive switching [48].…”
Section: Background and Recent Trends In Energy Efficiency: A Taxonomymentioning
confidence: 99%
“…The ability to perform energy-efficient real-time data processing for the control and decision making during the water management process is highly crucial. Therefore, disruptive technologies such as non-volatile memories [93], [94], integrated with emerging ultra-low-power computing paradigms deserve high attention as key enabling solutions to the implementation of the required computing systems. For instance, the so-called normally-off computing [95], which involves inactive components of computer systems being aggressively powered off, enables it through the implementation of non-volatile processors.…”
Section: Disruptive Energy-efficient Technologiesmentioning
confidence: 99%
“…Recryptor [12] is an ARM Cortex-M0 based IoTtargeted cryptoprocessor, where energy-efficiency stems from near-threshold voltage operation and in-memory computing. Senni et al [13] leverage the non-volatility and low leakage power consumption of magnetic random access memory (MRAM) to reduce processor energy consumption when idling. Wang et al [14] propose a dual-core processor system, where one core has high performance and the second core has relatively low performance, but is 3× more energy-efficient.…”
Section: Related Workmentioning
confidence: 99%