This paper deals with the technology scalability of spin-transfer torque magnetic RAMs (STT-MRAMs)based on nanoscaled perpendicular magnetic tunnel junctions (MTJs)and FinFET technology. Our study was performed at different levels of abstraction, from device- up to architecture-level passing through a circuit-level analysis for the single memory bitcell. Simulation results obtained for a 512 KB cache memory show that scaling from the 28-nm down to the 20-nm technology node leads to reduced write latency (−20%)and lower energy consumption under both write (−36%)and read (−29%)accesses, while also ensuring an almost doubled integration density. This occurs at the expense of slightly reduced sensing margins and higher read latency (+5%), and of a degradation in the data retention capability owing to the reduced MTJ thermal stability.
Assessment of STT-MRAM performance at nanoscaled technology nodes using a device-to-memory simulation framework
Garzon E.
Membro del Collaboration Group
;De Rose R.;Crupi F.;Trojman L.;Lanuzza M.
2019-01-01
Abstract
This paper deals with the technology scalability of spin-transfer torque magnetic RAMs (STT-MRAMs)based on nanoscaled perpendicular magnetic tunnel junctions (MTJs)and FinFET technology. Our study was performed at different levels of abstraction, from device- up to architecture-level passing through a circuit-level analysis for the single memory bitcell. Simulation results obtained for a 512 KB cache memory show that scaling from the 28-nm down to the 20-nm technology node leads to reduced write latency (−20%)and lower energy consumption under both write (−36%)and read (−29%)accesses, while also ensuring an almost doubled integration density. This occurs at the expense of slightly reduced sensing margins and higher read latency (+5%), and of a degradation in the data retention capability owing to the reduced MTJ thermal stability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.