Tuesday, August 7th
3:40-6:05 PM
PMEM-102-1: Persistent Memory Hardware (Persistent Memory Track Track)
Organizer: Jim Pappas, Director, Initiative Marketing, Intel Server Platforms Group

Organizer + Chairperson: Jonathan Hinkle, Principal Researcher, Lenovo

Paper Title: Design of PRAM-based Persistent NVDIMM Controllers to Prepare the Data Age

Paper Abstract: Data is exploding and generated more in just the last year than in the entire previous history of industry. The data volumes are growing faster than ever before and expected to keep increasing more than hundreds Zeta-bytes for the next decade. While this big data explosion can open to new semiconductor business opportunities, memory scaling is unfortunately limited due to a low storage core reliability and significant core-to-core interference. In this talk, we will uncover a prototype of novel persistent NVDIMM controller that deals with a new type of Phase Change RAM (PRAM) and discuss several innovative concepts using the PRAM-based persistent NVDIMM controller to bridge the gap between storage demand and supply at the data age 2025. The demonstration of this presentation will include our several empirical evaluation results and the potential benefits brought by the controller's smart technologies, implemented in a FPGA prototype by being aware of new memory's unique memory-level characteristics and interfaces. Lastly, we will also demonstrate a use-case scenario that automates SSD firmware with our persistent NVDIMM controller, which is also implemented in our real FPGA hardware prototype.

Paper Author: Myoungsoo Jung, Professor, School of Integrated Technology, Yonsei University

Author Bio: Dr. Myoungsoo Jung is an Assistant Professor at Yonsei University (Korea). He has many years of industry experience, holds several industrial U.S. patents related to multi-channel SSDs, and has published forty technical papers on SSD flash firmware and kernel-level file systems. His work won a best paper nomination from the IEEE/ACM Internal Conference for High Performance Computing, Networking, Storage and Analysis 2013 (SC'13). He received core grant awards from National Science Foundation (NSF) and the Department of Energy (DOE), as well as the Lawrence Berkeley National Laboratory (LBNL) Award of Excellence. His current research interests include coprocessor architecture (e.g., MIC/GPU), FPGA-based accelerators, advanced computer architecture, and operating systems that take advantage of emerging non-volatile memory and solid state drive technologies. Dr. Jung earned his Ph.D. in Computer Science from Pennsylvania State University and his M.S. in Computer Science from Georgia Institute of Technology. He also earned an M.S. in Embedded Systems from Korea University in Seoul.