An Energy Efficient Multi-Retention STT-MRAM Memory Architecture for IoT Applications
Belal Jahannia, Seyed Ali Ghasemi, Hamed Farbeh
Abstract
This brief proposes a novel energy-optimized multi-retention STT-MRAM architecture for IoT devices that addresses the limitations of the traditional memory architecture consisting of flash and SRAM. We first extensively investigate the IoT applications behavior and their memory access pattern to classify the memory addresses based on their lifetime. Then, we determine optimum points of STT-MRAM retention relaxation for energy saving and propose a memory allocation scheme to map the application blocks in their most energy efficient memory section. Our evaluations demonstrate that the average energy saving of the proposed architecture is 66% compared to the conventional STT-MRAM architecture.
Topics & Concepts
Magnetoresistive random-access memoryComputer scienceData retentionStatic random-access memoryArchitectureSemiconductor memoryEfficient energy useMemory architectureNon-volatile memoryEnergy (signal processing)Embedded systemComputer architectureComputer hardwareRandom access memoryElectrical engineeringEngineeringMathematicsComputer securityVisual artsStatisticsArtAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesAdvanced Data Storage Technologies