Abstract
This presentation by Philipp Gotze of TU Ilmenau from the PIRL 2020 conference begins by introducing lessons learned from the application of Persistent Memory (PMem) in our preliminary work. Afterwards, we examine PMem as a very promising technology for graph processing. We present a novel architecture for transactional processing of queries and updates on a property graph model. Its design builds on the previously introduced lessons learned and special characteristics of Intel’s Optane Persistent Memory. Particularly, we look at the storage model, query processing, and transaction processing and present first evaluation results.