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Seminar: Web-Scale Graph Computation and Its Challenges (Haixun Wang)

Nov 24, 2011

Seminar: Web-Scale Graph Computation and Its Challenges (Haixun Wang)

The SNU-Samsung Electronics SW Joint Research Center, Center for Intelligent Computing(CIC) is hosting the following invitational seminar with Haixun Wang of Microsoft as the speaker. We await the participation of all those who are interested.

Topic: Web-Scale Graph Computation and Its Challenges
Lecturer: Haixun Wang (Researcher, Microsoft Research Asia in Beijing, China)
Date and Time: Thursday, November 24th, 2011. 10:30 ~ 12:00 a.m.
Venue: S-Lab (Room 315, Building 301)

Abstract
We are handling large and complex data. A lot of the data is represented by graphs, and thus, graph computation has become a challenging problem. In this talk, I will introduce the Trinity system that is developed at Microsoft Research to address this need. Trinity is a graph database and computation platform over distributed memory cloud, and it can be deployed on one machine or hundreds of machines in a cluster. As a database, it provides features such as highly concurrent query processing and transaction processing. As a computation platform, it provides synchronous and asynchronous batch-mode computations on large scale graphs. In this talk, I will introduce the design of Trinity, present a demo on social graph search, and I will talk about applications we are building on top of Trinity, including graph search, sub-graph matching, etc. In addition, I will introduce some ongoing work, including Trinity for Azure, and Trinity for RDF.

About the Speaker
Haixun Wang is a researcher at Microsoft Research Asia in Beijing, China. Before joining Microsoft, he had been a research staff member at IBM T. J. Watson Research Center for 9 years. He was Technical Assistant to Stuart Feldman (Vice President of Computer Science of IBM Research) from 2006 to 2007, and Technical Assistant to Mark Wegman (Head of Computer Science of IBM Research) from 2007 to 2009. Haixun Wang has published more than 120 research papers in referred international journals and conference proceedings. He is associate editor of IEEE Transactions of Knowledge and Data Engineering (TKDE), Journal of Computer Science and Technology (JCST). He is PC co-Chair of CIKM 2012, ICMLA 2011, WAIM 2011. Haixun Wang got the ER 2008 Conference best paper award (DKE 25 year award), and ICDM 2009 Best Student Paper run-up award.

※ For more information, please inquire to the SNU-Samsung Electronics SW Joint Research Center at 02-880-7259