UW faculty member Liqiang "Eric" Wang has received an Early Career Faculty Development
award from the National Science Foundation. (UW Photo)
The National Science Foundation has selected Liqiang "Eric" Wang, an assistant professor in the University of Wyoming College of Engineering and Applied Science, for an Early Career Faculty Development award.
The $450,500 award will assist Wang's research on scalable error detection for parallel software systems on high-performance computing platforms.
High-performance computing introduces many new challenges to parallel program design, where a computation may involve hundreds of thousands of processes with multiple-level parallelism, Wang says.
"It is very difficult to debug such large-scale parallel programs," Wang says. "Scalable and light-weight correctness tools are critical to combat this challenge."
This research seeks to design innovative algorithms and develop a scalable tool kit to efficiently and effectively analyze parallel programs and detect potential errors on extreme scale computing platforms.
"This research will greatly help the development of extreme scale parallel programs for scientific computing and discover hard-to-find errors in early stage," Wang says. "It will significantly reduce the burden of tedious debugging activities, so researchers can focus on scientific problems."
The tool kit is targeted for general computing platforms, from local clusters to extreme scale supercomputers. He says the research results will facilitate the development of new courses and enhance existing ones. High school, undergraduate and graduate students will have opportunities to get involved in the research.
Wang has been an assistant professor in the UW Department of Computer Science since 2006. He received a Ph.D. in computer science from State University of New York, Stony Brook in 2006. His research interest is the design and analysis of high-performance computing systems.
