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 Department of Electrical Engineering and Computer Science in the Tickle College of Engineering at the University of Tennessee.
Recent Publications
"Numerical eigen-spectrum slicing, accurate orthogonal eigen-basis, and mixed-precision eigenvalue refinement using OpenMP data-dependent tasks and accelerator offload",
The International Journal of High Performance Computing Applications, vol. 303, issue 136, 2024-09.
"Evolution of the SLATE linear algebra library",
The International Journal of High Performance Computing Applications, 2024-09.
"MAGMA: Enabling exascale performance with accelerated BLAS and LAPACK for diverse GPU architectures",
The International Journal of High Performance Computing Applications, 2024-06.
"Multi-GPU work sharing in a task-based dataflow programming model",
Future Generation Computer Systems, vol. 156, pp. 313 - 324, 2024-07.
"Ginkgo - A math library designed to accelerate Exascale Computing Project science applications",
The International Journal of High Performance Computing Applications, 2024-08.
"The co-evolution of computational physics and high-performance computing",
Nature Reviews Physics, 2024-08.
"A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly?",
Future Generation Computer Systems, 2024-07.
