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

Mishler, D., J. Ciesko, S. Olivier, and G. Bosilca, "Performance Insights into Device-initiated RMA Using Kokkos Remote Spaces", 2023 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), Santa Fe, NM, USA, IEEE, 2023-11.
Cao, Q., S. Abdulah, H. Ltaief, M. G. Genton, D. Keyes, and G. Bosilca, "Reducing Data Motion and Energy Consumption of Geospatial Modeling Applications Using Automated Precision Conversion", 2023 IEEE International Conference on Cluster Computing (CLUSTER), Santa Fe, NM, USA, IEEE, 2023-11.
Abdelfattah, A., S. Tomov, P. Luszczek, H. Anzt, and J. Dongarra, "GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure", SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, 2023-11.
Ribizel, T., and H. Anzt, "Parallel Symbolic Cholesky Factorization", SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and AnalysisProceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, 2023-11.
Sukkari, D., M. Gates, M. Al Farhan, H. Anzt, and J. Dongarra, "Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators", SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, 2023-11.
Li, J., G. Bosilca, A. Bouteiller, and B. Nicolae, "Elastic deep learning through resilient collective operations", SC-W 2023: Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, Denver, CO, ACM, 2023-11.
Ayala, A., S. Tomov, M. Stoyanov, A. Haidar, and J. Dongarra, "Accelerating Multi - Process Communication for Parallel 3-D FFT", 2021 Workshop on Exascale MPI (ExaMPI), St. Louis, MO, USA, IEEE, 2021-12.
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