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Guest Speaker: Jianfeng Zhan

Professor of Computer Science and Engineering
Tuesday, February 12, 2019, 4:00 pm

Jianfeng Zhan
Tuesday, February 12, 2019
480 Dreese Labs

Exploring software stacks for emerging workloads

Emerging workloads like Internet services, Big Data and machine learning pose serious challenges to both application performance and system efficiency. In this talk, I will present four projects, which aim at benchmarking and exploring software stacks for emerging workloads.  First, I will present BigDataBench: a scalable Big Data and AI benchmark Suite. Second, I will introduce two new OS architectures for datacenter computing: RainForest, which achieves both average performance and worst-case performance, and XOS---an application-defined OS. Finally, I will discuss how to build a graph processing framework for sophisticated machine learning.  Most of those systems are open-sourced and publicly available from .

Bio: Jianfeng Zhan is a Professor of Computer Science and Engineering at Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences. His research interests include benchmarking, operating systems, parallel and distributed systems. He has published over 150 papers in major journals and international conferences related to these research areas, and filed 40 patents. He founded BenchCouncil---a non-profit open International Open Benchmarking Council. He served as TPDS associate editor.

From 2004 to 2010, he leaded the R&D efforts of innovative cluster and cloud systems software for the dawning-series super computers (which ranked top 2 and top 10 on the top 500 list in 2010 and 2004, respectively). Among them, GridView was transferred to Sugon, which is a premier supercomputing company in China, and becomes its popular software product. Currently, he is exploring innovative system stacks for emerging workloads.

He received the second-class Chinese National Technology Promotion Prize in 2006, the Distinguished Achievement Award of the Chinese Academy of Sciences in 2005, and IISWC Best paper award in 2013, respectively.

More details about Prof. Zhan are available at