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

Dongarra, J., "The evolution of mathematical software", Communications of the ACM, vol. 65227, issue 12, pp. 66 - 72, 2022-12.
Tsai, Y-H. M., T. Cojean, and H. Anzt, "Providing performance portable numerics for Intel GPUs", Concurrency and Computation: Practice and Experience, vol. 17, 2022-10.  (3.16 MB)
Funk, Y., M. Götz, and H. Anzt, "Prediction of Optimal Solvers for Sparse Linear Systems Using Deep Learning", 2022 SIAM Conference on Parallel Processing for Scientific Computing (PP), Philadelphia, PA, Society for Industrial and Applied Mathematics, pp. 14 - 24, 2022.
Anzt, H., M. Casas, C. I. Malossi, E. S. Quintana-Ortí, F. Scheidegger, and S. Zhuang, "Approximate Computing for Scientific Applications", Approximate Computing Techniques, 322: Springer International Publishing, pp. 415 - 465, 2022-01.
Tsai, Y. M., T. Cojean, and H. Anzt, "Porting Sparse Linear Algebra to Intel GPUs", Euro-Par 2021: Parallel Processing Workshops, vol. 13098517107, Lisbon, Portugal, Springer International Publishing, pp. 57 - 68, 2022-06.