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

Zhao, Y., L. Wan, W. Wu, G. Bosilca, R. Vuduc, J. Ye, W. Tang, and Z. Xu, "Efficient Communications in Training Large Scale Neural Networks", ACM MultiMedia Workshop 2017, Mountain View, CA, ACM, 10/2017.  (1.41 MB)
Aupy, G., Y. Robert, and F. Vivien, "Assuming failure independence: are we right to be wrong?", 3rd International Workshop on Fault Tolerant Systems (FTS), Hawaii, US, IEEE, 09/2017.  (597.11 KB)
Fang, A., A. Cavelan, Y. Robert, and A. Chien, "Resilience for Stencil Computations with Latent Errors", International Conference on Parallel Processing (ICPP), Bristol, UK, IEEE Computer Society Press, 08/2017.  (1.19 MB)
Benoit, A., F. Cappello, A. Cavelan, Y. Robert, and H. Sun, "Identifying the Right Replication Level to Detect and Correct Silent Errors at Scale", 2017 Workshop on Fault-Tolerance for HPC at Extreme Scale, Washington, DC, ACM, 06/2017.  (865.68 KB)