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
, "Asynchrony and Failure Masking via Pseudo-Local Process Recovery in MPI Applications", 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), San Francisco, CA, USA, IEEE, 2024-05.
, "Automated Data Analysis for Defining Performance Metrics from Raw Hardware Events", 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), San Francisco, CA, USA, IEEE, 2024-05.
, "Towards Scalable and Efficient Spiking Reinforcement Learning for Continuous Control Tasks", 2024 International Conference on Neuromorphic Systems (ICONS), Arlington, VA, USA, IEEE, 2024.
, "XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing", Computing in Science & Engineering, vol. 26, issue 3, pp. 40 - 51, 2024-07.
, Interface for Sparse Linear Algebra Operations, 2024-11.
, "Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs", ISC High Performance 2024 International Workshops , vol. 15058, Hamburg, Germany, Springer, Cham, pp. 127 - 140, 2024-12.
, "Advancements of PAPI for the exascale generation", The International Journal of High Performance Computing Applications, 2024-12.
