Building and Using An Inexpensive, Scalable Display Wall

26.09.2001

Foredragsholdere
Kai Li

Abstract:
During the past two decades, processor speed, memory and disk density, and network bandwidth have improved by three orders of magnitude. However, the display resolution barely improved by a factor of two. As the compute power and the amount of information are increasing at the rate of Moore's law, the display resolution has become the bottleneck of between human and computer systems.

The Princeton Scalable Display Wall project explores how to build and use a large-format display with multiple commodity components. Our goal is to construct a collaborative space that fully utilizes a large-format display, immersive sound, and natural user interfaces. This talk gives an overview of the project, describes the research issues and reports the progress we have made in the project.


Biography:
Kai Li is a professor at the Computer Science Department of Princeton University. His research interests include operating systems, computer architecture, distributed systems, and scalable display systems. He has led several research projects at Princeton including the Shared Virtual Memory project which is a follow-on project to his initial creation of the concept of software distributed shared memory in his Ph.D. thesis, the Scalable I/O project which is a multi-institutional effort to attack I/O bottleneck problems for parallel computers, the Scalable High-performance Really Inexpensive MultiProcessor (SHRIMP) project which investigates how to build high-performance servers, and the Scalable Display Wall project which explores how to build and use a high-resolution, large-scale collaborative environment where users can communicate across space and time.

He joined Princeton after receiving his Ph.D. degree from Yale University In 1986. Prior to that, he received his B.S. degree from Jilin University in China and M.S. degree from University of Science and Technology of China, Academy of Sciences of China, respectively. He published over 70 journal and conference articles, and served on dozens of program committees. He was elected to become an ACM fellow in 1998.



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