COMPUTATIONAL SOCIAL SCIENCE – High-Performance Computing Systems for Big Graph Analytics – Howie Huang
COMPUTATIONAL SOCIAL SCIENCE FRIDAY SEMINAR
Howie Huang, Associate Professor
Department of Electrical and Computer Engineering
George Washington University
High-Performance Computing Systems for Big Graph Analytics
Friday, February 10, 3:00-4:30 p.m.
Center for Social Complexity Suite
Research Hall, 3rd Floor
Big data are ubiquitous and graph-based datasets are especially interesting with broader impacts in social networks, biological networks, and cybersecurity. In this talk, I will discuss a number of our recent projects (Enterprise SC’15, iBFS SIGMOD’16, G-Store SC’16, and Graphene FAST’17) and present our efforts on designing and developing high-performance graph algorithms and systems. In particular, I will discuss several novel techniques on addressing the computational and I/O challenges in graph computing. Furthermore, I will present our ongoing work on utilizing these graph systems for understanding and analyzing complex network data.
Dr. Howie Huang is an Associate Professor in Department of Electrical and Computer Engineering at the George Washington University. His research interests are in the areas of computer systems and architecture, including cloud computing, big data, high-performance computing and storage systems. His work on big graph analytics has ranked highly on both the Graph500 and Green Graph500 benchmarks. Dr. Huang is a recipient of the NSF CAREER Award, Comcast Technology Research and Development Fund, NVIDIA Academic Partnership Award, IBM Real Time Innovation Faculty Award, and GWU School of Engineering and Applied Science Outstanding Young Researcher Award. His projects won the Best Poster Award at PACT’11, ACM Undergraduate Student Research Competition at SC’12, and a finalist for the Best Student Paper Award at SC’11. He completed his Ph.D. in the Department of Computer Science at the University of Virginia.