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Liqiang Wang

University of Wyoming professor Liqiang Wang's research focuses on the analysis and design of HPC systems.

Credit: University of Wyoming

University of Wyoming professor Liqiang Wang is helping optimize a supercomputer at the NCAR-Wyoming Supercomputing Center and improving the reliability of high-performance computing (HPC) programs.

Wang's work will help other Wyoming professors conduct research for the National Center for Atmospheric Research (NCAR).

"We want all codes that run on Yellowstone [the supercomputer's name] to be more scalable, more reliable, and perform better," Wang says. "We want to make the process easier and faster on the supercomputer. We'll be making it easier for other researchers to do their research."

His research focuses on the analysis and design of HPC systems. For analysis, Wang works to detect programming errors and performance defects for large-scale HPC programs. For design, Wang is investigating data-intensive parallel computing on multi-core central processing units, graphics processing units, and cloud computing platforms.

Wang also is working with professor Po Chen to develop more detailed images of computer models of underground structures to better predict seismic activity. The researchers are designing a more scalable code called PLSQR code, which can compute the data more efficiently.

From University of Wyoming 
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