In November 2016 a first publication on international journal issued of the GREAT project is appeared on ACM Journal on Emerging Technologies in Computing Systems . This paper explores the benefits of having a non-volatile processor to enable ultra-low-power IoT devices. 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 attractive solution to design ultra-low-power systems. Among these technologies, magnetic random access memory is a promising candidate, as it combines non-volatility, high density, reasonable latency, and low leakage. Integration of non-volatility as a new feature of memories has the great potential to allow full data retention after a complete shutdown with a fast wake-up time.
At the DATE Conference, in March 2017, KIT and LIRMM will attend and present into the special session on Spintronics-based computing. The aim of this session is to bring together the worldwide leading experts (from respectively USA, France, China, Japan and Germany) related to this hot topic to share the most recent results and discuss the future challenges. Different computing paradigms will be involved in this special session benefiting from interesting nature of spintronics devices. The invited speakers will talk about devices, design and compact modeling aspects, and applications, permitting a full development platform from devices to circuit & systems based on spintronics.
 S. Senni, L. Torres, G. Sassatelli, A. Amatie "Non-Volatile Processor Based on MRAM for Ultra-Low-Power IoT Devices » ACM Journal on Emerging Technologies in Computing Systems, Volume 13 Issue 2, November 2016. Link.