Performance Prediction of Graph Analytics on Persistent Memory

Considering a system with heterogeneous memory (DRAM and PMEM, in this case Intel Optane), the problem we address is to decide which application will be allocated on each type of resource. We built a model that estimates the impact of running the application on Intel Optane using performance counters from previous runs on DRAM. Using this model, we present an offline application placement for the context of heterogeneous memories. Our results show that judicious allocation can yield average reduction of 22% and 120% in makespan and degradation metrics respectively.