Events

PhD Defense: "Facilitating Emerging Non-volatile Memories in Next-Generation Memory System Design: Architecture-Level and Application-Level Perspectives"

Ping Chi

June 3rd (Friday), 1:00pm
Harold Frank Hall (HFH), Room 4164 (ECE Conf. Rm.)


As technology scales, the increasing leakage power dissipation and the degraded reliability of conventional SRAM and DRAM technologies cause growing concern. Emerging non-volatile memory (NVM) technologies have shown great potential to build next-generation memory systems, by combining low leakage power, good scalability, fast speed, and high density. As they are maturing, it is important for computer architects to understand their pros and cons and leverage them in future computer system design.

Our work is one of such efforts. We focuses on three types of emerging NVMs, spin-transfer torque RAM (STT-RAM), phase change memory (PCM), and metal-oxide resistive RAM (ReRAM). We investigate two aspects to facilitate them in next-generation memory system design, architecture-level and application-level perspectives, and propose our solutions to mitigate their disadvantages and take advantage of their unique features in system design. First, we optimize multi-level cell (MLC) STT-RAM based cache design by using data encoding and data compression. Second, we exploit MLC STT-RAM as persistent main memory for fast and energy-efficient local checkpointing. Third, we redesign the commonly used database indexing algorithm, B+tree, to make it NVM-friendly. Forth, we propose a novel processing-in-memory architecture built on ReRAM main memory to accelerate neural network applications.

About Ping Chi:

photo of ping chiPing Chi received the B.S. and M.S. degrees from Tsinghua University, Beijing, China, in 2008 and 2011, respectively. She is currently pursuing the Ph.D. degree with the Electrical and Computer Engineering Department, University of California at Santa Barbara. Her current research interests include emerging non-volatile memory technologies, memory system design, and low power system design. She was a recipient of the IEEE/ACM William J. McCalla ICCAD Best Paper Award - Front End in 2014 and the second place winner of ACM Student Research Competition at ICCAD 2014.

Hosted by: Professor Yuan Xie