2022 07.18
July 27-Computing In-X for Supporting Big Data Applications

Speaker| Prof. David H.C. Du (杜宏章), Qwest Chair Professor, University of Minnesota, Minneapolis, USA
Time| 2:00-4:00 P.M., Wednesday, July 27, 2022
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Many challenges exist in current big data era. We intend to fully utilize the available data for making critical decisions to benefit individuals, business, and society. These include how to store enormous amount of data for a very long time, how to quickly identify the relevant data from all the available data, and how to process relevant data efficiently for many computing purposes. In this talk, we introduce several potential improvements, including non-volatile memory, active storage devices, and software-defined networks, in our current computing environment that may help us to face these challenges. In general, to solve these challenges we need to speed up both the data processing and accessing capabilities/performance as well as to increase the space capacities of memory and storage.  Therefore, we will especially introduce computing in-storage and in-networking in addition to computing in-memory. Several examples of each category will be presented. The potential benefits of each category of computing in-X will also be summarized and compared. 

Dr. Du is currently the Qwest Chair Professor of Computer Science and Engineering at University of Minnesota, Minneapolis. He is the Center Director of the NSF multi-university I/UCRC Center of Research in Intelligent Storage (CRIS).

In additional to NSF, CRIS is currently sponsored with 9 companies with 15 sponsored memberships including Intel, IBM, HPE, Dell/EMC, Seagate, Veritas, Samsung, Huawei and Salesforce. He was a Program Director (IPA) at National Science Foundation CISE/CNS Division from March 2006 to August 2008. At NSF, he was responsible for NeTS (Networking Research cluster) NOSS (Networks of Sensor Systems) Program and worked with two other colleagues, Karl Levitt and Ralph Wachter, on Cyber Trust (Internet Security) Program. Dr. Du receives a B.S degree in Mathematics from National Tsing-Hua University (Taiwan) in 1974 and an M.S. and Ph.D. degrees from University of Washington (Seattle) in 1980 and 1981 respectively. He joined University of Minnesota as a faculty since 1981. Dr. Du also has been a visiting professor in Germany, Korea, Singapore, Hong Kong and Taiwan.

Research Expertise
Du’s current research focuses on intelligent storage systems, sensor/vehicular networks and cyber physical systems. He has had research in high-speed networking, database design, multimedia computing and CAD for VLSI circuits. He has authored and co-authored over 300 technical papers including 140 referred journal publications in these research areas. He has graduated 60 Ph.D. and 100+ M.S. students in the last 30 years. His research in intelligent storage systems focus on new storage technologies/architectures, that can handle semantic data and adaptive to long-term data preservation, and efficient power management for data centers. His research in sensor/vehicular networks and cyber physical systems focuses on vehicle-to-vehicle communications, future intelligent transportation systems, next generation air-transportation systems and security and privacy issues for cyber physical systems. His group is currently focusing on research issues on hyperconverging (seamless integrating compute, storage and network in a single IT infrastructure and using AI and machine learning approaches of solving challenging systems management issues.