POSTER: Improving NUMA System Efficiency with a Utilization-Based Co-scheduling

Abstract

This work proposes a co-scheduling technique for co-located parallel applications on Non-Uniform Memory Access (NUMA) multi-socket multi-core platforms. The technique allocates core resources for running parallel applications such that both the utilization of the memory controllers and the CPU cores are maximized. Utilization is predicted using an online performance prediction model based on queuing systems. At runtime, the core allocation is periodically re-evaluated and cores are re-assigned to executing applications. Experimental results show that the proposed co-scheduling technique is able to execute co-located parallel applications in significantly less total execution time than the default Linux scheduler and a conventional scalability-based scheduler.