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Keshav Pingali to receive Ken Kennedy Award
He earned a B.Tech degree from the Indian Institute of Technology, Kanpur, India.
Keshav Pingali / Image - IEEE CS
Keshav Pingali, a professor at the University of Texas at Austin, has been awarded the prestigious 2023 ACM-IEEE CS Ken Kennedy Award. The accolade, one of the highest distinctions presented by the IEEE Computer Society (IEEE CS) and the Association for Computing Machinery (ACM), recognizes individuals who have made exceptional contributions to programmability or productivity in high-performance computing and significant community service or mentoring contributions.
The award, which includes a certificate of recognition and a $5,000 honorarium, will be officially presented to Pingali in November at the International Conference for High-Performance Computing, Networking, Storage, and Analysis (SC23).
Pingali's notable contributions encompass various facets of software theory and practice, particularly in the domains of compilers, tools, and programming languages related to parallelism and memory management. His accomplishments include the development of program transformation algorithms aimed at optimizing cache utilization, the creation of innovative representations for program restructuring, and the introduction of symbolic analysis techniques tailored for intricate numerical algorithms.
Pingali holds the distinguished position of the W.A. "Tex" Moncrief Chair of Grid and Distributed Computing at the University of Texas at Austin. In addition to this role, he maintains joint appointments in the Department of Computer Science, the Oden Institute for Computational Engineering and Sciences, and the Department of Electrical and Computer Engineering.
He earned a Bachelor of Technology (B.Tech) degree from the Indian Institute of Technology, Kanpur, India. Subsequently, he obtained Master of Science (S.M.) and Electrical Engineering (E.E.) degrees from the Massachusetts Institute of Technology (MIT). He received a Doctor of Science (Sc.D) degree from MIT.
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