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

Haidar, A., A. Abdelfattah, S. Tomov, and J. Dongarra, "High-performance Cholesky Factorization for GPU-only Execution", Proceedings of the General Purpose GPUs (GPGPU-10), Austin, TX, ACM, 02-2017.  (872.18 KB)
Haidar, A., K. Kabir, D. Fayad, S. Tomov, and J. Dongarra, "Out Of Memory SVD Solver for Big Data", 2017 IEEE High Performance Extreme Computing Conference (HPEC'17), Waltham, MA, IEEE, 09-2017.  (1.33 MB)
Haidar, A., P. Wu, S. Tomov, and J. Dongarra, "Investigating Half Precision Arithmetic to Accelerate Dense Linear System Solvers", ScalA17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, Denver, CO, ACM, 11/2017.  (766.35 KB)
Fayad, D., J. Kurzak, P. Luszczek, P. Wu, and J. Dongarra, "The Case for Directive Programming for Accelerator Autotuner Optimization", Innovative Computing Laboratory Technical Report, no. icl-ut-17-07: University of Tennessee, 10-2017.  (341.52 KB)
Haidar, A., H. Jagode, P. Vaccaro, S. Tomov, and J. Dongarra, "Investigating Power Capping toward Energy-Efficient Scientific Applications", Concurrency and Computation: Practice and Experience (CCPE): Special Issue on Power-Aware Computing 2017, Submitted.