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

Bosilca, G., A. Bouteiller, A. Guermouche, T. Herault, Y. Robert, P. Sens, and J. Dongarra, "A Failure Detector for HPC Platforms", The International Journal of High Performance Computing Applications, 07/2017.  (1.04 MB)
Anzt, H., J. Dongarra, G. Flegar, E. S. Quintana-Ortí, and A. E. Thomas, "Variable-Size Batched Gauss-Huard for Block-Jacobi Preconditioning", International Conference on Computational Science (ICCS 2017), vol. 108, Zurich, Switzerland, Procedia Computer Science, pp. 1783-1792, 06-2017.
M. Lopez, G., V. Larrea, W. Joubert, O. Hernandez, A. Haidar, S. Tomov, and J. Dongarra, "Evaluation of Directive-based Performance Portable Programming Models", International Journal of High Performance Computing and Networking (IJHPCN), vol. (In Press), 2017.
Dong, T., A. Haidar, S. Tomov, and J. Dongarra, "Optimizing the SVD Bidiagonalization Process for a Batch of Small Matrices", International Conference on Computational Science (ICCS 2017), Zurich, Switzerland, Procedia Computer Science, 06-2017.  (364.95 KB)