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 College of Engineering at the University of Tennessee and serves as the cornerstone laboratory of the Center for Information Technology Research (CITR), one of UT’s nine Centers of Excellence.

Recent Publications

Ayala, A., S. Tomov, M. Stoyanov, A. Haidar, and J. Dongarra, "Performance Analysis of Parallel FFT on Large Multi-GPU Systems", 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Lyon, France, IEEE, 2022-08.
Whitlock, M., N. Morales, G. Bosilca, A. Bouteiller, B. Nicolae, K. Teranishi, E. Giem, and V. Sarkar, "Integrating process, control-flow, and data resiliency layers using a hybrid Fenix/Kokkos approach", 2022 IEEE International Conference on Cluster Computing (CLUSTER 2022), Heidelberg, Germany, 2022-09.
Dongarra, J., and A. Geist, "Report on the Oak Ridge National Laboratory's Frontier System", ICL Technical Report, no. ICL-UT-22-05, 2022-05.  (16.87 MB)
Benoit, A., Y. Du, T. Herault, L. Marchal, G. Pallez, L. Perotin, Y. Robert, H. Sun, and F. Vivien, "Checkpointing à la Young/Daly: an overview", IC3, the 14th Int. Conf. on Contemporary Computing: ACM Press, 2022-08.  (639.77 KB)
Benoit, A., L. Perotin, Y. Robert, and H. Sun, "Online scheduling of moldable task graphs under common speedup models", ICPP'2022, the 50th Int. Conf. on Parallel Processing: ACM Press, 2022.  (622.81 KB)
Gao, Y., G. Pallez, Y. Robert, and F. Vivien, "Evaluating Task Dropping Strategies for Overloaded Real-Time Systems (Work-In-Progress)", 42nd Real Time Systems Symposium (RTSS): IEEE Computer Society Press, 2021.  (217.13 KB)
Benoit, A., R. Elghazi, and Y. Robert, "Max-Stretch Minimization on an Edge-Cloud Platform", IPDPS'2021, the 34th IEEE International Parallel and Distributed Processing Symposium: IEEE Computer Society Press, 2021.  (4.94 MB)
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