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

Anzt, H., J. Dongarra, G. Flegar, N. J. Higham, and E. S. Quintana-Orti, "Adaptive precision in block-Jacobi preconditioning for iterative sparse linear system solvers", Concurrency and Computation: Practice and Experience, vol. 31, no. 6, pp. e4460, 2019.  (341.54 KB)
Anzt, H., Y-C. Chen, T. Cojean, J. Dongarra, G. Flegar, P. Nayak, E. S. Quintana-Orti, Y. M. Tsai, W. Wang, and , "Towards Continuous Benchmarking", the Platform for Advanced Scientific Computing ConferenceProceedings of the Platform for Advanced Scientific Computing Conference on - PASC '19, Zurich, SwitzerlandNew York, New York, USA, ACM Press, 2019.  (1.51 MB)
Anzt, H., G. Flegar, T. Grützmacher, and E. S. Quintana-Ortí, "Toward a modular precision ecosystem for high-performance computing", The International Journal of High Performance Computing Applications, pp. 109434201984654, Sep-05-2019.  (1.93 MB)
Aupy, G., A. Gainaru, V. Honoré, P. Raghavan, Y. Robert, and H. Sun, "Reservation strategies for stochastic jobs", IPDPS'2019, the 33st IEEE International Parallel and Distributed Processing Symposium: IEEE Computer Society Press, 2019.  (808.93 KB)
Canon, L-C., A. Kong Win Chang, Y. Robert, and F. Vivien, "Scheduling independent stochastic tasks under deadline and budget constraints", Int. Journal of High Performance Computing Applications, vol. To appear, 2019.  (427.92 KB)
Han, L., V. Le Fèvre, L-C. Canon, Y. Robert, and F. Vivien, "A Generic Approach to Scheduling and Checkpointing Workflows", Int. Journal of High Performance Computing Applications, To appear, 2019.  (555.01 KB)
Aupy, G., A. Benoit, B. Goglin, L. Pottier, and Y. Robert, "Co-scheduling HPC workloads on cache-partitioned CMP platforms", Int. Journal of High Performance Computing Applications, To appear, 2019.  (930.28 KB)