Mapi-Pro: An Energy Efficient Memory Mapping Technique for Intermittent Computing

Abstract

Battery-less technology evolved to replace battery usage in space, deep mines, and other environments to reduce cost and pollution. Non-volatile memory (NVM) based processors were explored for saving the system state during a power failure. Such devices have a small SRAM and large non-volatile memory. To make the system energy efficient, we need to use SRAM efficiently. So we must select some portions of the application and map them to either SRAM or FRAM. This paper proposes an ILP-based memory mapping technique for intermittently powered IoT devices. Our proposed technique gives an optimal mapping choice that reduces the system’s Energy-Delay Product (EDP). We validated our system using TI-based MSP430FR6989 and MSP430F5529 development boards. Our proposed memory configuration consumes 38.10% less EDP than the baseline configuration and 9.30% less EDP than the existing work under stable power. Our proposed configuration achieves 20.15% less EDP than the baseline configuration and 26.87% less EDP than the existing work under unstable power. This work supports intermittent computing and works efficiently during frequent power failures.