Enabling technologies and software for scientific computing
The Innovative Computing Laboratory (ICL) aspires to be a world leader in enabling technologies and software for scientific computing. Our vision is to provide high performance tools to tackle science’s most challenging problems and to play a major role in the development of standards for scientific computing in general.
ICL is a research laboratory in the Department of Electrical Engineering and Computer Science in the Tickle College of Engineering at the University of Tennessee.
Recent Publications
, "What Will the Grace Hopper-Powered Jupiter Supercomputer Bring for Sparse Linear Algebra?", SCA/HPCAsia 2026: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region, Osaka, Japan, ACM, 2026-01.
, "Constraints and Mutexflows for Scalable Block-Sparse Matrix Multiplication Using Template Task Graphs", SN Computer Science, vol. 7, issue 2, 2026-01.
, "SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning", 2025 International Conference on Neuromorphic Systems (ICONS), Seattle, WA, USA, IEEE, 2026-01.
, Automated Classification and Verification of Performance Counters, 2025-12.
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(3.62 MB) , "PAPI Support for Specialized AI Architectures", SC25: 10th International Parallel Data Systems Workshop (PDSW 2025), St. Louis, MO, IEEE, 2025-11.
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(360.05 KB) (1.97 MB) , "HPL-MxP benchmark: Mixed-precision algorithms, iterative refinement, and scalable data generation", The International Journal of High Performance Computing Applications, 2025-09.
, "Accelerating Supercomputing: AI-Hardware-Driven Innovation for Speed and Efficiency", 2025 IEEE High Performance Extreme Computing Conference (HPEC), Wakefield, MA, USA, IEEE, 2025-10.
