Data-aware power management for periodic real-time systems with non-volatile memory

In real-time systems, power gating is widely adopted by processing cores but not working memory because of data loss. Meanwhile, new non-volatile memory technology, which is comparable to volatile memory, quickly emerges. Thus, in this paper, we propose data-aware power management for real-time systems with both volatile and non-volatile memories. Considering the trade-off between data migration energy overhead and energy reduction through power gating, we minimize energy consumption when the system is idle by appropriately selecting sleep modes and making decisions on data migration. Experimental results show that this approach can reduce energy consumption by up to 20%.