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.
Barry, D., H. Jagode, A. Danalis, and J. Dongarra,
"Memory Traffic and Complete Application Profiling with PAPI Multi-Component Measurements",
2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), St. Petersburg, Florida, IEEE, To appear.
Herault, T., J. Schuchart, E. F. Valeev, and G. Bosilca,
"Composition of Algorithmic Building Blocks in Template Task Graphs",
2022 IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM)2022 IEEE/ACM Parallel Applications Workshop: Alternatives To MPI+X (PAW-ATM), Dallas, TX, USA, IEEE, 2022.
Aggarwal, I., P. Nayak, A. Kashi, and H. Anzt,
Communications in Computer and Information ScienceAccelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and SimulationPreconditioners for Batched Iterative Linear Solvers on GPUs,
, vol. 169075, Cham, Springer Nature Switzerland, pp. 38 - 53, 2023.
Bouteiller, A., and G. Bosilca,
"Implicit Actions and Non-blocking Failure Recovery with MPI",
2022 IEEE/ACM 12th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS), Dallas, TX, USA, IEEE, 2023-01, 2022.