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., N. Emad, and S. Abolfazl Shahzadeh-Fazeli, "An Asynchronous Algorithm on NetSolve Global Computing System", Future Generation Computer Systems, vol. 22, issue 3, pp. 279-290, 2006-02.  (568.92 KB)
Nayak, P., T. Cojean, and H. Anzt, "Evaluating Asynchronous Schwarz Solvers on GPUs", International Journal of High Performance Computing Applications, 2020-08.
Archibald, R., E. Chow, E. D'Azevedo, J. Dongarra, M. Eisenbach, R. Febbo, F. Lopez, D. Nichols, S. Tomov, K. Wong, et al., "Integrating Deep Learning in Domain Sciences at Exascale", 2020 Smoky Mountains Computational Sciences and Engineering Conference (SMC 2020), 2020-08.
Bosilca, G., R. Harrison, T. Herault, M. Mahdi Javanmard, P. Nookala, and E. Valeev, "The Template Task Graph (TTG) - An Emerging Practical Dataflow Programming Paradigm for Scientific Simulation at Extreme Scale", 2020 IEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2): IEEE, 2020-11.  (139.6 KB)
Cao, Q., Y. Pei, K. Akbudak, G. Bosilca, H. Ltaief, D. Keyes, and J. Dongarra, "Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems", 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, 2021-05.  (1.08 MB)
Herault, T., Y. Robert, G. Bosilca, R. Harrison, C. Lewis, E. Valeev, and J. Dongarra, "Distributed-Memory Multi-GPU Block-Sparse Tensor Contraction for Electronic Structure", 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, 2021-05.