Since Claude E. Shannon proposed information theory in 1940s, it has been successfully applied to different applications in communication since it provides the theoretic foundation to model the transmission of information. Besides communication, its applications include image processing, computer graphics and visualization, and currently we are working on demonstrating its utilities for in situ data analysis. In this talk, I will overview the entire roadmap of our project of integrating information theory with in situ analysis and visualization of scientific data. I will summarize my progress in this summer, which is mainly focusing on creating a software layer that interfaces scientific scientific simulation code to compute different information theoretic measurements. I will review related mathematical background, the design rationale, the challenges to create a general program interface for different scientific simulations, and the current integration with the NEK5000 and FLASH codes as examples. In the future, we plan to use information-theoretic metrics to identify salient data blocks and time steps, reduce data, and provide level-of-detail selection.

Teng-Yok Lee is a PhD candidate in the Dept. of Computer Science & Engineering at The Ohio State University. His advisor is Prof. Han-Wei Shen. Teng-Yok's research areas cover computer graphic, scientific and information visualization, and GPGPU. He obtained his bachelor and master degrees in Computer Science & Information Engineering from the National Chiao-Tung Univertity, sin-Chu, Taiwan. He expects to receive his Ph.D. by December 2011.

His personal webpage: http://www.cse.ohio-state.edu/~leeten