Presenter: Bingzhe Li

Abstract:

Tremendous technology developments have been witnessed in the area of computing, network and storage systems. A huge amount of digital data was generated in the past decades with the rapid growth of new technology development such Internet of Things (IoT) devices, edge devices, sensors, 5G, etc. Such vast amounts of digital data are being generated and are available for access to all new applications. It becomes a critical and increasing challenge to manage this huge amount of data available at our fingertips and to locate the information that we need anytime from anywhere. 

In this talk, I will focus on emerging storage systems for big data from two perspectives. First, from the capacity perspective, I will introduce two emerging storage devices/systems with large areal densities (i.e., DNA (Deoxyribonucleic Acid) storage and shingled magnetic recording (SMR)) including how they are managed and developed. I will discuss a new DNA storage architecture for storing images, which offers improved dependability and capacity. Additionally, I will explore a machine learning approach tailored to enhance the performance of SMR. Secondly, from the performance perspective, I will present a high-performance system to accelerate graph neural networks (GNNs) by co-designing the storage systems and GNN algorithms. Finally, the system can significantly speed up the training process of GNNs.

Bio:

Dr. Bingzhe Li is currently an assistant professor of Computer Science at the University of Texas at Dallas. Prior that, he received the PhD degree in Electrical and Computer Engineering from the University of Minnesota, Twin Cities in 2018. After that, he worked as a postdoctoral associate in Department of Computer Science and Engineering, University of Minnesota, Twin Cities and then worked as an assistant professor at Oklahoma State University. His research interests focus on memory and storage systems, and systems for big data applications including database, AI/ML, etc. He has served as conference organization committees, technical program committees, reviewers for several major conferences and journals in computer system, storage, and computing architecture. In recognition of his research, he received the Best Paper Nomination at the ICCD’21 and the featured paper of the Month at IEEE Transactions of Computers on March 2021.

Hosted by: Professor Heiner Litz

Zoom:​​​​​https://ucsc.zoom.us/j/97252727979?pwd=UDg4RExMZFV0a0tBcHBUVURkeHQ1Zz09