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

Bouteiller, A., and G. Bosilca, "Implicit Actions and Non-blocking Failure Recovery with MPI", 2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), Dallas, TX, USA, IEEE, 2023-01, 2022.
Reed, D., D. Gannon, and J. Dongarra, "HPC Forecast", Communications of the ACM, vol. 664648, issue 2, pp. 82 - 90, 2023-01.
Nance, D., S. Tomov, and K. Wong, "A Python Library for Matrix Algebra on GPU and Multicore Architectures", 2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS), Denver, CO, IEEE, 2022-12.  (414.36 KB)
Fortenberry, A., and S. Tomov, "Extending MAGMA Portability with OneAPI", The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), Ninth Workshop on Accelerator Programming Using Directives (WACCPD 2022), Dallas, TX, 2022-11.  (999.19 KB)
Dongarra, J., "The evolution of mathematical software", Communications of the ACM, vol. 65227, issue 12, pp. 66 - 72, 2022-12.