CSE Graduate Xiao Qin wins the prestigious NSF CAREER Award.
UNL CSE graduate Xiao Qin received an NSF CAREER award in 2009 to investigate parallel disk architectures that put substantial multicore computing power on disks.
NSF CAREER Awards to support a research recognize and support outstanding young faculty who have potential to be an international leader in a chosen field through outstanding research, excellent education and the integration of education and research within the context of the mission of their institutions.
Xiao Qin received the Ph.D. in Computer Science from the University of Nebraska-Lincoln in 2004. His Ph.D. advisor was Dr. Hong Jiang. Prior to joining Auburn University in 2007, he had been an assistant professor at New Mexico Institute of Mining and Technology for three years.
Qin’s CAREER award aims to develop new parallel disk architectures along with multicore-based data processing algorithms, which make use of multicore processors to scale up to arbitrary size and to autonomically adapt to dynamic data-intensive environmental conditions. If successful, Qin’s research will provide the first parallel disk system in which large parts of data and I/O processing are offloaded to multicore processors embedded in disk drives. Qin will bridge the technology gap between multicore computing and parallel disk systems by addressing fundamental issues of multicore computing, data processing, and performance analysis for data-intensive computing systems. He will also proactively address design issues from low level disk architecture all the way up to data processing algorithms, thereby gaining new experience in how low-level disk facilities affect high-level application programming interfaces. Qin plans to implement a toolkit to design and analyze hardware and software components for multicore-based parallel disk systems.
As part of his CAREER award, Qin will establish a storage systems laboratory in support of the design of real-world data-intensive systems. In addition, he will develop four cross-listed undergraduate/graduate courses on the subjects of multicore programming, storage systems, and data-intensive computing.
To learn more about this NSF CAREER project or other current projects in Qin's research group, visit his web page at http://www.eng.auburn.edu/~xqin or contact him at xqin@auburn.edu or 844-6327.
More on storage systems research at UNL can also be found at http://cse.unl.edu/~jiang/
