Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets

Reza Entezari-Maleki, Younghyun Cho, Bernhard Egger

Abstract: Highlights•Understanding memory performance in NUMA architectures using stochastic reward nets.•Approximate SRN models to model large scale NUMA architectures with low complexity.•Cross-validation of the proposed SRN models on a real NUMA multi-core system.•Model-based analysis of large scale NUMA memory performance for various applications.