Public Research Seminar by Microelectronics Thrust - Improving HPC and AI Systems and Applications via Error-Bounded Lossy Compression

11:00am - 12:00pm
ZOOM (ID: 950 4407 2372; Password: 963843)

The next generation of supercomputers will be exascale systems, which are capable of at least 1018 floating-point operations per second. These systems can help scientists and researchers tackle extremely complex high-performance computing (HPC) and artificial intelligence (AI) problems. Due to the gap between ever-increasing computation power and limited storage capacity and I/O bandwidth, HPC researchers must develop smart and effective methods to efficiently manage the large amounts of data generated by those HPC and AI applications. Error-bounded lossy compression has been considered as a promising solution, because it can significantly reduce the data size while maintaining high data fidelity. However, the current HPC community is facing several severe challenges to effectively and efficiently utilize error-bounded lossy compression in practice. This talk will cover two related topics: (1) optimizing error-bounded lossy compression for heterogeneous HPC systems (especially for GPUs and FPGAs), and (2) exploring error-bounded lossy compression for diverse HPC and AI applications such as cosmological simulations and deep neural network training.

Event Format
Speakers / Performers:
Dr. Dingwen Tao
Washington State University

Dr. Dingwen Tao is an Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University. He received his B.S. degree in Mathematics from the University of Science and Technology of China in 2013 and his Ph.D. degree in Computer Science from the University of California, Riverside in 2018. Prior to joining WSU, he worked in the University of Alabama and interned at multiple U.S. Department of Energy national laboratories. His research interests include high-performance computing, parallel and distributed systems, and large-scale machine learning. He has published in major top-tier HPC and big data conferences and journals, including SC, ICS, HPDC, PPoPP, PACT, IPDPS, Cluster, DAC, BigData, ICPP, TPDS, TC, etc. He is the receipt of 2020 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing, 2020 NSF CRII Award, and 2017 UCR Dissertation Year Program Award. His current research has been supported by the U.S. NSF, DOE, NOAA, Xilinx, and AMD

Language
English
Recommended For
Faculty and staff
PG students
UG students
Organizer
Function Hub, HKUST(GZ)
Contact

For enquiries, please contact Miss Annie WU (+86-20-36665041, anniewu@ust.hk )

Post an event
Campus organizations are invited to add their events to the calendar.