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

Tsai, Y. M., P. Luszczek, and J. Dongarra, "Mixed-Precision Algorithm for Finding Selected Eigenvalues and Eigenvectors of Symmetric and Hermitian Matrices", ICL Technical Report, no. ICL-UT-21-05, 2021-08.  (3.93 MB)
Iqbal, Z., S. Nooshabadi, I. Yamazaki, S. Tomov, and J. Dongarra, "Exploiting Block Structures of KKT Matrices for Efficient Solution of Convex Optimization Problems", IEEE Access, 2021.  (1.35 MB)
Sharp, D., M. Stoyanov, S. Tomov, and J. Dongarra, "A More Portable HeFFTe: Implementing a Fallback Algorithm for Scalable Fourier Transforms", ICL Technical Report, no. ICL-UT-21-04: University of Tennessee, 2021-08.  (493.17 KB)
Dong, T., A. Haidar, P. Luszczek, S. Tomov, A. Abdelfattah, and J. Dongarra, "MAGMA Batched: A Batched BLAS Approach for Small Matrix Factorizations and Applications on GPUs", Innovative Computing Laboratory Technical Report, no. ICL-UT-16-02: University of Tennessee, 2016-08.  (929.79 KB)
Ayala, A., S. Tomov, P. Luszczek, S. Cayrols, G. Ragghianti, and J. Dongarra, "Interim Report on Benchmarking FFT Libraries on High Performance Systems", Innovative Computing Laboratory Technical Report, no. ICL-UT-21-03: University of Tennessee, 2021-07.  (2.68 MB)
Lindquist, N., P. Luszczek, and J. Dongarra, "Accelerating Restarted GMRES with Mixed Precision Arithmetic", IEEE TPDS Special Section on Innovative R&D toward the Exascale Era.  (572.4 KB)
Schuchart, J., P. Samfass, C. Niethammer, J. Gracia, and G. Bosilca, "Callback-based completion notification using MPI Continuations", Parallel Computing, vol. 21238566, issue 0225, pp. 102793, Jan-05-2021.
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