Data-Intensive Distributed Systems Laboratory

Zhao Zhang

PhD Candidate

University of Chicago

Talk title: Data Management for Parallel Scripting (Slides)

Abstract: This talk discusses the rationale, design and implementation of the runtime data management system in the ExM Project (System support for extreme-scale many-task  applications, http://sites.google.com/site/exmcomputing/). This talk will briefly introduce data management challenges of many-task applications in the context of large scale computers. Those challenges include persistent parallel file system I/O, intermediate data caching, and data flow pattern based data transfer optimization. Challenges, approaches, and results will be presented, as well as future direction of this work.

Bio: Zhao Zhang is a PhD candidate in the Distributed Systems Laboratory in the Department of Computer Science at University of Chicago, under the guidance of Prof. Ian Foster. His research interests are in supercomputers, grid computing, and cloud computing. His research focus is on supercomputing data management. He received his master degree from the Department of Computer Science at the University of Chicago in 2007. His bachelor degree is in Software Engineering from Beijing University of Posts and Telecommunications in 2006.