IDT: Intelligent Data Placement for Multi-tiered Main Memory with Reinforcement Learning
Juneseo Chang, Wanju Doh, Yaebin Moon, Eojin Lee, Jung Ho Ahn · 2024
To address the limitation of a DRAM-based single-tier in satisfying the comprehensive demands of main memory, multi-tiered memory systems are gaining widespread adoption. To support these systems, operating-system-level solutions that analyze the application's memory access patterns and ensure data placement in the appropriate memory tier have been vastly explored.