Reducing memory interference in multicore systems via application-aware memory channel partitioning

Main memory is a major shared resource among cores in a multicore system. If the interference between different appli-cations ’ 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, we first present an alternative approach to reducing inter-application interference in the memory system: application-aware memory channel partitioning (MCP). The idea is to map the data of applications that are likely to severely interfere with each other to different mem-ory channels. The key principles are to partition onto sep