Enhancing state retention with energy-efficient memory tracing in intermittent systems

Abstract

Intermittent systems powered by harvested energy frequently encounter power outages, requiring efficient mechanisms to save and restore their internal state, to ensure computational progress. In these systems, minimising the overhead of state retention, comprising CPU core registers and main volatile memory contents (a snapshot), is essential to maximise computational progress within the constraints of limited energy availability. This paper introduces a hardware module, MeTra (MEmory TRAcing), designed to enhance energy-efficient state retention in intermittent systems. This is achieved by tracing and selectively saving the modified parts of the main volatile memory (RAM) to non-volatile memory (NVM), i.e. FRAM. Additionally, MeTra dynamically adjusts the voltage threshold that initiates state saving, optimizing energy usage for each snapshot and enabling the system to dedicate more harvested energy to useful computations. MeTra was integrated with anArmCortex-M1 processor on an FPGA and evaluated using benchmarks including matrix multiplication, array sorting, and advanced encryption standard (AES), demonstrating its effectiveness in reducing state-saving time and improving energy efficiency by selectively saving modified RAM regions instead of the entire memory. Experimental results demonstrate that snapshot time can be reduced by 48.34%to 57.56%in FRAM-based systems, leading to an improvement in energy efficiency of 65.24%to 77.76%. These gains are achieved by selectively saving 5.66%to 19.82%of RAM, using MeTra, compared to saving entire RAM.

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ORCID for Geoff Merrett: orcid.org/0000-0003-4980-3894

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