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
"The Template Task Graph (TTG) - An Emerging Practical Dataflow Programming Paradigm for Scientific Simulation at Extreme Scale",
2020 IEEE/ACM 5th International Workshop on Extreme Scale Programming Models and Middleware (ESPM2): IEEE, 2020-11.
(139.6 KB)
(139.6 KB)
"Translational Process: Mathematical Software Perspective",
Journal of Computational Science, 2020-09.
(752.59 KB)
(752.59 KB)
"Leveraging PaRSEC Runtime Support to Tackle Challenging 3D Data-Sparse Matrix Problems",
35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, 2021-05.
(1.08 MB)
(1.08 MB)
"Distributed-Memory Multi-GPU Block-Sparse Tensor Contraction for Electronic Structure",
35th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2021), Portland, OR, IEEE, 2021-05.
ASCR@40: Four Decades of Department of Energy Leadership in Advanced Scientific Computing Research,
: Advanced Scientific Computing Advisory Committee (ASCAC), US Department of Energy, 2020-08.
ASCR@40: Highlights and Impacts of ASCR’s Programs,
: US Department of Energy’s Office of Advanced Scientific Computing Research, 2020-06.
"High-Order Finite Element Method using Standard and Device-Level Batch GEMM on GPUs",
2020 IEEE/ACM 11th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA): IEEE, 2020-11.
(1.3 MB)
(1.3 MB) 
