This division focuses on the theoretical and applied research by which next generation, high-performance computing and communications systems are designed, developed, and exploited.
Research fields include:
- high-performance computer architectures and networks
- parallel and distributed computing
- fault-tolerant computing
- real-time systems
- intelligent systems
- microprocessor-based systems
- performance analysis
At the University of Florida, the undergraduate CpE program is jointly administered by the Department of Computer and Information Science and Engineering and the Department of Electrical and Computer Engineering.
More detailed information about the Computer Engineering major (CpE) is available at the CpE website.
Faculty
Area Chair: Tuba Yavuz
Biography
Primary Research Area
Computer Engineering
Research Interests
HPC Fault Tolerance and Data Reduction,Safety of Automonous Driving Systems, AI Dependability
Recent Publications
[NeurIPS’25] “You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network”. The Annual Conference on Neural Information Processing Systems, 2025. Yi Li, Zhichun Guo, Guanpeng Li, and Bingzhe Li
[LDAV’25] “Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.” IEEE Symposium on Large Data Analysis and Visualization, 2025. Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, and Hanqi Guo
[SC’25] “Deploying Lightweight Selective Instruction Duplication for HPC Applications.” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025. Rahman, Md Hasanur, and Guanpeng Li
[SC’25] “lsCOMP: Efficient Light Source Compression” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025. Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, and Franck Cappello
[SC’25] “GPU Lossy Compression for HPC Can Be Versatile and Ultra-fast” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2025. Yafan Huang, Sheng Di, Guanpeng Li, and Franck Cappello
[ICS’25] “Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach” ACM International Conference on Supercomputing, 2025. Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, and Franck Cappello (Best Paper Award Finalist)
[ACM Computing Surveys] “A Survey on Error-bounded Lossy Compression for Scientific Datasets.” ACM Computing Surveys, 2025. Sheng Di et al
[IPCCC’25] “Modeling Rate-Distortion for Endpoint-Aware Lossy Compression in Scientific Data Transfer.” IEEE International Performance Computing and Communications Conference, 2025. Md Hasanur Rahman, Sheng Di, Guanpeng Li, and Franck Cappello
Honors and Awards
Best Paper Award or Finalist (ICS’25, SC’24, SC’22, DSN’21, ISSRE’20, DSN’18)
NSF CAREER Award (2025)
Google Academic Research Award (2024)
IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing (2024)
IEEE Top Picks in Test and Reliability (2024, 2023)
SPEC Kaivalya Dixit Distinguished Dissertation Award (2019)
NSERC Postdoc Fellowship (2019)
Education
Postdoc, University of Illinois Urbana-Champaign, 2020
Ph.D., University of British Columbia, 2019
BASc, University of British Columbia, 2014