Reducing Memory Interference in Multicore Systems Via Application-Aware Memory Channel Partitioning

Main memory is a major shared resource among cores in a multi-core system. If the interference between different applications' memory requests is not controlled effectively, system performance can degrade significantly. Previous work aimed to mitigate the problem of interference between applications by changing the scheduling policy in the memory controller, i.e., by prioritizing memory requests from applications in a way that benefits system performance. In this paper, the authors first present an alternative approach to reducing inter-application interference in the memory system: application-aware Memory Channel Partitioning (MCP).