Paper Title: Enhance Your Data Architecture with the Persistent Memory Tier

Paper Abstract: With the recent arrival of commercially available persistent memory technologies, software developers are no longer limited to either main memory (DRAM) or storage for data structure placements. Persistent memory offers aspects of both memory and storage, filling the gap between the two and opening up many possibilities for use in existing or new data architectures. This talk will provide an overview of persistent memory and the corresponding software models designed to manage these memory stores. Attendees will be able to identify characteristics of data structures that are well suited for persistent memory and understand how software can be modified to take advantage of this technology in place of either DRAM or storage.

Paper Author: Ginger Gilsdorf, Software Engineer, Intel

Author Bio: Ginger Gilsdorf is a software engineer at Intel, focused on optimizing database and analytics software. She has first-hand experience optimizing database software to run on systems utilizing Optane (TM) DC persistent memory. Ginger earned a BS in computer science from Arizona State University and is currently pursuing a Master's in Computer Science with a specialization in machine learning at Georgia Tech. She holds a U.S. patent in memory and storage technologies.