Fast and predictable non-volatile data memory for real-time embedded systems
M Bazzaz, A Hoseinghorban… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Energy consumption and predictability are two important constraints in designing real-time
embedded systems and one of the recently proposed solutions for the energy consumption …
embedded systems and one of the recently proposed solutions for the energy consumption …
CHANCE: Capacitor charging management scheme in energy harvesting systems
A Hoseinghorban, MR Bahrami, A Ejlali… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The energy efficiency of emerging nonvolatile processors equipped with FRAM-SRAM
memory makes them a promising solution for energy harvesting systems. To enable correct …
memory makes them a promising solution for energy harvesting systems. To enable correct …
PROWL: A cache replacement policy for consistency aware renewable powered devices
A Hoseinghorban, M Abbasinia… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Energy harvesting systems powered by renewable energy sources employ hybrid volatile-
nonvolatile memory to enhance energy efficiency and forward progress. These systems …
nonvolatile memory to enhance energy efficiency and forward progress. These systems …
RIDE: Energy efficient data allocation on compound racetrack-sram scratchpad memory for real-time embedded systems
AL Takami, A Hoseinghorban… - 2020 CSI/CPSSI …, 2020 - ieeexplore.ieee.org
Embedded systems have time and energy constraints; so, they use scratchpad memory
(SPM) as on-chip memory to replace cache. SRAMs low access latency makes it an …
(SPM) as on-chip memory to replace cache. SRAMs low access latency makes it an …