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 center in the Tickle College of Engineering at the University of Tennessee.
Recent Publications
, "Comparing and Contrasting User and Runtime Directed Data Placement Strategies for Owner-Compute, Multi-accelerator Distributed Task Based Scheduling", Workshop on Asynchronous Many-Task Systems and Applications, 1, St. Louis, MO, Springer Cham, pp. 140 - 153, 2025-10.
, "High-performance computing at a crossroads", Science, vol. 387, issue 6736, pp. 829 - 831, 2025-02.
, "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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