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
"Multi-level checkpointing and silent error detection for linear workflows",
Journal of Computational Science, vol. 28, pp. 398-415, 2018.
"Computing dense tensor decompositions with optimal dimension trees",
Algorithmica, to appear, 2019.
"Solving Linear Diophantine Systems on Parallel Architectures",
IEEE Transactions on Parallel and Distributed Systems, 10-2018.
"ParILUT - A Parallel Threshold ILU for GPU",
IPDPS, Submitted.
(505.33 KB)
(505.33 KB)
"High-Performance GPU Implementation of PageRank with Reduced Precision based on Mantissa Segmentation",
8th Workshop on Irregular Applications: Architectures and Algorithms, 2018.
"Variable-size batched condition number calculation on GPUs",
SBAC-PAD, 2018.
(509.3 KB)
(509.3 KB)
"A Jaccard Weights Kernel Leveraging Independent Thread Scheduling on GPUs",
SBAC-PAD, 2018.
(237.68 KB)
(237.68 KB) 
