TXST’s Tanzima Islam awarded NSF CAREER grant to improve supercomputer efficiency
The CAREER program offers the NSF’s most prestigious awards in support of early-career faulty who have the potential to serve as academic role models in research and education.
Tanzima Islam, Ph.D., an assistant professor in the Department of Computer Science at Texas State University, has been awarded the National Science Foundation’s (NSF) Faculty Early Career Development Program (CAREER) grant to study the use of generative AI to improve the operational efficiency of supercomputers.
The five-year, $650,000 award will support her study, “CAREER: SPEED: Scalable Performance-aware Engine for Efficient Decision-making on High-Performance Computing Systems.”
The CAREER program offers the NSF’s most prestigious awards in support of early-career faulty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.
Tanzania Islam, Ph.D.
“As supercomputers become more complex, it is getting harder to run programs efficiently without wasting time or energy,” Islam said. “Our project will leverage generative AI to build SPEED, a new system that will automatically learn how to adjust settings for better performance—on the fly. This will accelerate discoveries in fields such as disaster response, healthcare and engineering, while also training the next generation of AI and supercomputing experts.”
Islam previously received the U.S. Department of Energy’s Early Career Research Program Award in 2022. Established in 2010, the DOE program supports the individual research programs of outstanding scientists early in their careers and stimulates research careers in the disciplines supported by the DOE Office of Science.
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