Abstract:
In modern computers, processing elements have evolved with pipelining, superscalar and multi-core technologies for high performance Central Processing Units (CPUs). As described by Moore’s Law, more and more transistors are available to further strengthen all kinds of hardware components such as device drives, accelerators and special circuits. With the extra power, they can offload CPUs and work on some domain specific tasks. In recent years, DSPs (Digital Signal Processors), GPUs (Graphics Processing Units), APUs (Accelerated Processing Units), TPUs (Tensor Processing Units), FPGAs (Field-Programmable Gate Array) and ASICs (Application -Specific Integrated Circuits) have demonstrated their effectiveness on domain specific processing. The computing based on multi-type processors is referred as Heterogeneous Computing. Both data and computations are arranged well to achieve “Near Resource Computing” for better system utilization and accelerated application execution. This talk focuses on the architectural and programming trends in Heterogeneous Computing..
Bio:
Professor Hai Jiang received his B.S. degree from Beijing University of Posts and Telecommunications, China, M.A. and Ph.D. degrees from Wayne State University, Detroit, MI, USA. He is a Professor in the Department of Computer Science at Arkansas State University, USA. Before joining Arkansas State University, he has spent four years in State key Laboratory of Switching Technology and Telecommunication Networks, Beijing, China as a research fellow and five years in industry with Ford Motor Company, Dearborn, MI, USA, where he held various technical positions. His current research interests include Parallel & Distributed Systems, Cloud Computing, Big Data, Cryptography, Computer & Network Security, High Performance Computing and Communication, and Modeling & Simulation.
Dr. Jiang is a professional member of ACM and IEEE computer society. He has published three books and more than 100 papers in refereed journals, conference proceedings and book chapters. He has been involved in more than 100 conferences and workshops as a program/workshop chair or as a program committee member. He serves as an editor for International Journal of High Performance Computing and Networking, International Journal of Computational Science and Engineering, and International Journal of Embedded Systems as well as a guest editor for IEEE Systems Journal, Cluster Computing, and Concurrency and Computation: Practice and Experience. He also serves on the editorial board of International Journal of Big Data Intelligence, GSTF Journal on Social Computing, Open Journal of Internet of Things, and The Scientific World Journal. He also chaired IEEE TCSC PhD Dissertation Award Selection Committee, 2017.
校学术委员会
网络与交换技术国家重点实验室
2018年7月11日
